PAPERS/clanek_go_congress/clanek.bib

   1 % Encoding: UTF-8
   2
   3 @TECHREPORT{style_quest,
   4   author = "{M}oud{\v{r}\'{i}}k, {J}osef and {B}audi{\v{s}}, {P}etr",
   5   title = "Style Consensus: Style of Professional Players, Judged by Strong Players",
   6   url = "http://gostyle.j2m.cz/FILES/style_consensus_27-05-2013.pdf",
   7   year = "2013",
   8   month = "May",
   9 }
  10
  11 @MastersThesis{Moudrik13,
  12   author   = "Josef Moud{\v{r}\'{i}}k",
  13   title    = "Meta-learning methods for analyzing Go playing trends",
  14   school   = "Charles University, Faculty of Mathematics and Physics",
  15   address  = "Prague, Czech Republic",
  16   note     = "Currently in preparation.",
  17   year     = "2013",
  18 }
  19 @ONLINE{GoAncientChina,
  20   author = "John Fairbairn",
  21   year = "1995",
  22   title = "Go in Ancient China",
  23   url = "http://www.pandanet.co.jp/English/essay/goancientchina.html",
  24   cited = "15.\,1.\,2013",
  25   owner = "jm"
  26 }
  27
  28 @ONLINE{ wiki:Go,
  29    author = "Wikipedia",
  30    title = "Go (game) --- Wikipedia{,} The Free Encyclopedia",
  31    year = "2013",
  32    url = "http://en.wikipedia.org/w/index.php?title=Go_(game)\&oldid=532253814",
  33    cited = "15.\,1.\,2013"
  34 }
  35
  36 @ONLINE{ wiki:go_handi,
  37    author = "Wikipedia",
  38    title = "Go handicaps --- Wikipedia{,} The Free Encyclopedia",
  39    year = "2012",
  40    url = "http://en.wikipedia.org/w/index.php?title=Go_handicaps&oldid=505279363",
  41    cited = "16.\,1.\,2013"
  42 }
  43
  44 @ONLINE{ wiki:go_rank,
  45    author = "Wikipedia",
  46    title = "Go ranks and ratings --- Wikipedia{,} The Free Encyclopedia",
  47    year = "2012",
  48    url = "http://en.wikipedia.org/w/index.php?title=Go_ranks_and_ratings&oldid=522963011",
  49    cited = "18.\,1.\,2013"
  50 }
  51
  52 @ARTICLE{ieee:mcts_overview,
  53 author={Browne, C.B. and Powley, E. and Whitehouse, D. and Lucas, S.M. and Cowling, P.I. and Rohlfshagen, P. and Tavener, S. and Perez, D. and Samothrakis, S. and Colton, S.},
  54 journal={Computational Intelligence and AI in Games, IEEE Transactions on},
  55 title={A Survey of Monte Carlo Tree Search Methods},
  56 year={2012},
  57 month={march },
  58 volume={4},
  59 number={1},
  60 pages={1 -43},
  61 keywords={Artificial intelligence;Computers;Decision theory;Game theory;Games;Markov processes;Monte Carlo methods;Monte Carlo methods;game theory;tree searching;MCTS research;Monte carlo tree search methods;computer Go;key game;nongame domains;random sampling generality;Artificial intelligence (AI);Monte Carlo tree search (MCTS);bandit-based methods;computer Go;game search;upper confidence bounds (UCB);upper confidence bounds for trees (UCT);},
  62 doi={10.1109/TCIAIG.2012.2186810},
  63 ISSN={1943-068X},
  64    url = "http://www.doc.ic.ac.uk/~sgc/papers/browne_ieee12.pdf",
  65
  66 }
  67
  68 @ONLINE{ wiki:computer_go,
  69    author = "Wikipedia",
  70    title = "Computer Go --- Wikipedia{,} The Free Encyclopedia",
  71    year = "2013",
  72    url = "http://en.wikipedia.org/w/index.php?title=Computer_Go&oldid=530803356",
  73    cited = "17.\,1.\,2013"
  74 }
  75
  76
  77 @ONLINE{ senseis:which_pro,
  78    author = "{Sensei's Library}",
  79    title = "Which Pro Do You Most Play Like",
  80    url = "http://senseis.xmp.net/?WhichProDoYouMostPlayLike",
  81    year = "2013",
  82    cited = "8.\,4.\,2013"
  83 }
  84
  85 @ONLINE{ senseis:33,
  86    author = "{Sensei's Library}",
  87    title = "4-4 point low approach one-space low pincer",
  88    url = "http://senseis.xmp.net/?44PointLowApproachOneSpaceLowPincer",
  89    year = "2013",
  90    cited = "29.\,3.\,2013"
  91 }
  92
  93 @ONLINE{ senseis:empty_triangle,
  94    author = "{Sensei's Library}",
  95    title = "The empty triangle is bad",
  96    url = "http://senseis.xmp.net/?TheEmptyTriangleIsBad",
  97    year = "2013",
  98    cited = "18.\,3.\,2013"
  99 }
 100
 101 @ONLINE{ senseis:styles,
 102    author = "{Sensei's Library}",
 103    title = "Professional Players' Go Styles",
 104    url = "http://senseis.xmp.net/?ProfessionalPlayersGoStyles",
 105    year = "2013",
 106    cited = "12.\,3.\,2013"
 107 }
 108 @ONLINE{ senseis:rank_cmp,
 109    author = "{Sensei's Library}",
 110    title = "Rank - worldwide comparison",
 111    url = "http://senseis.xmp.net/?RankWorldwideComparison",
 112    year = "2013",
 113    cited = "16.\,1.\,2013"
 114 }
 115 @ONLINE{ senseis:proverbs,
 116    author = "{Sensei's Library}",
 117    title = "Go Proverbs",
 118    url = "http://senseis.xmp.net/?GoProverbs",
 119    year = "2013",
 120    cited = "18.\,2.\,2013"
 121 }
 122
 123 @ONLINE{ senseis:tutorial,
 124    author = "{Sensei's Library}",
 125    title = "Rules of Go - introductory",
 126    url = "http://senseis.xmp.net/?BasicRulesOfGo",
 127    year = "2013",
 128    cited = "15.\,1.\,2013"
 129 }
 130 @ONLINE{ senseis:scoring,
 131    author = "{Sensei's Library}",
 132    title = "Scoring",
 133    url = "http://senseis.xmp.net/?Scoring",
 134    year = "2013",
 135    cited = "16.\,1.\,2013"
 136 }
 137 @ONLINE{ senseis:seki,
 138    author = "{Sensei's Library}",
 139    title = "Seki",
 140    url = "http://senseis.xmp.net/?Seki",
 141    year = "2013",
 142    cited = "16.\,1.\,2013"
 143 }
 144 @ONLINE{ senseis:dan,
 145    author = "{Sensei's Library}",
 146    title = "Dan",
 147    url = "http://senseis.xmp.net/?Dan",
 148    year = "2013",
 149    cited = "8.\,2.\,2013"
 150 }
 151 @ONLINE{ senseis:rules,
 152    author = "{Sensei's Library}",
 153    title = "Rules of Go",
 154    url = "http://senseis.xmp.net/?RulesOfGo",
 155    year = "2013",
 156    cited = "16.\,1.\,2013"
 157 }
 158 @ONLINE{ senseis,
 159    author = "{Sensei's Library}",
 160    title = "Sensei's Library",
 161    year = "2013",
 162    url = "http://senseis.xmp.net/",
 163    cited = "15.\,1.\,2013"
 164 }
 165
 166 @ONLINE{ computer_go,
 167    author = "Nick Wedd",
 168    title = "Computer Go Info --- Human-Computer Go Challenges",
 169    year = "2013",
 170    url = "http://www.computer-go.info/h-c/index.html",
 171    cited = "8.\,2.\,2013"
 172 }
 173
 174 @ONLINE{ est_go,
 175    author = "{Go Census}",
 176    title = "",
 177    year = "2002",
 178    url = "http://web.archive.org/web/20021217041220/http://www.fin.ne.jp/~igo/census.htm",
 179    cited = "10.\,2.\,2013"
 180 }
 181
 182 @conference{ van_ees,
 183    author = "Theo van Ees",
 184    title = "The Slow Way West",
 185    booktitle = "Third International Conference on Baduk",
 186    address = "Myong-Ji University, Yongin City, Korea",
 187    month = "October",
 188    year = "2005",
 189    note = "Available as a part of the {GoGoD} {E}ncyclopaedia and {D}atabase, {H}istory",
 190    url = "http://www.gogod.co.uk/",
 191    cited = "8.\,2.\,2013"
 192 }
 193
 194 @article{vapnik95,
 195   author    = "Corinna Cortes and
 196                Vladimir Vapnik",
 197   title     = "Support-Vector Networks",
 198   journal   = "Machine Learning",
 199   volume    = "20",
 200   number    = "3",
 201   year      = "1995",
 202   pages     = "273-297",
 203   doi       = "10.1007/BF00994018",
 204 }
 205
 206
 207 @article{breiman96,
 208 year={1996},
 209 issn={0885-6125},
 210 journal={Machine Learning},
 211 volume={24},
 212 issue={1},
 213 doi={10.1007/BF00117832},
 214 title={Stacked regressions},
 215 url={http://dx.doi.org/10.1007/BF00117832},
 216 publisher={Kluwer Academic Publishers},
 217 keywords={Stacking; Non-negativity; Trees; Subset regression; Combinations},
 218 author={Breiman, Leo},
 219 pages={49-64},
 220 language={English}
 221 }
 222
 223 @ARTICLE{wolpert92,
 224     author = {David H. Wolpert},
 225     title = {Stacked Generalization},
 226     journal = {Neural Networks},
 227     year = {1992},
 228     volume = {5},
 229     pages = {241--259},
 230     url = "http://www.machine-learning.martinsewell.com/ensembles/stacking/Wolpert1992.pdf"
 231 }
 232
 233 @inproceedings{boosting,
 234 year={1995},
 235 isbn={978-3-540-59119-1},
 236 booktitle={Computational Learning Theory},
 237 volume={904},
 238 series={Lecture Notes in Computer Science},
 239 doi={10.1007/3-540-59119-2_166},
 240 title={A desicion-theoretic generalization of on-line learning and an application to boosting},
 241 url={http://dx.doi.org/10.1007/3-540-59119-2_166},
 242 publisher={Springer Berlin Heidelberg},
 243 author={Freund, Yoav and Schapire, RobertE.},
 244 pages={23-37}
 245 }
 246
 247
 248 @article{whitley94,
 249   title={A genetic algorithm tutorial},
 250   author={Whitley, D.},
 251   journal={Statistics and computing},
 252   volume={4},
 253   number={2},
 254   pages={65--85},
 255   year={1994},
 256   publisher={Springer}
 257 }
 258
 259 @book{ breiman84,
 260     author = "Breiman, Leo and Friedman, J. H. and Olshen R. A. and Stone, C. J.",
 261     year = "1984",
 262     title= "Classification and regression trees",
 263     address = "Monterey, CA",
 264     publisher = "Wadsworth \& Brooks/Cole Advanced Books \& Software",
 265     isbn = "978-0-412-04841-8"
 266 }
 267
 268 @article{breimanbag96,
 269  author = {Breiman, Leo},
 270  title = {Bagging predictors},
 271  journal = {Mach. Learn.},
 272  issue_date = {Aug. 1996},
 273  volume = {24},
 274  number = {2},
 275  month = aug,
 276  year = {1996},
 277  issn = {0885-6125},
 278  pages = {123--140},
 279  numpages = {18},
 280  url = {http://dx.doi.org/10.1023/A:1018054314350},
 281  doi = {10.1023/A:1018054314350},
 282  acmid = {231989},
 283  publisher = {Kluwer Academic Publishers},
 284  address = {Hingham, MA, USA},
 285  keywords = {aggregation, averaging, bootstrap, combining},
 286 }
 287
 288 @article{breiman01,
 289  author = "Breiman, Leo",
 290  title = "Random Forests",
 291  journal = "Machine Learning",
 292  issue_date = "October 1 2001",
 293  volume = "45",
 294  number = "1",
 295  month = oct,
 296  year = "2001",
 297  issn = "0885-6125",
 298  pages = "5--32",
 299  numpages = "28",
 300  doi = "10.1023/A:1010933404324",
 301  acmid = "570182",
 302  publisher = "Kluwer Academic Publishers",
 303  address = "Hingham, MA, USA",
 304  keywords = "classification, ensemble, regression",
 305 }
 306
 307 @article{smola04,
 308  author = "Smola, Alex J. and Sch{\"{o}}lkopf, Bernhard",
 309  title = "A tutorial on support vector regression",
 310  journal = "Statistics and Computing",
 311  issue_date = "August 2004",
 312  volume = "14",
 313  number = "3",
 314  month = "aug",
 315  year = "2004",
 316  issn = "0960-3174",
 317  pages = "199--222",
 318  numpages = "24",
 319  url = "http://www.cmlab.csie.ntu.edu.tw/~cyy/learning/papers/SVR_Tutorial.pdf",
 320  doi = "10.1023/B:STCO.0000035301.49549.88",
 321  acmid = "1011939",
 322  publisher = "Kluwer Academic Publishers",
 323  address = "Hingham, MA, USA",
 324  keywords = "machine learning, regression estimation, support vector machines"
 325 }
 326
 327 @ONLINE{GoGoD,
 328   author = "Hall, T. Mark and Fairbairn, John",
 329   year = "winter 2011",
 330   title = "{G}ames of {G}o on {D}isk --- {GoGoD} {E}ncyclopaedia and {D}atabase",
 331   url = "http://www.gogod.co.uk/",
 332   owner = "jm"
 333 }
 334
 335 @ONLINE{GoGoD:styles,
 336   author = "Fairbairn, John",
 337   year = "winter 2011",
 338   title = "{G}ames of {G}o on {D}isk --- {GoGoD} {E}ncyclopaedia and {D}atabase, {G}o players' styles",
 339   url = "http://www.gogod.co.uk/",
 340   owner = "jm"
 341 }
 342
 343 @ONLINE{GoGoD:dosaku,
 344   author = "Hall, T. Mark and Fairbairn, John",
 345   year = "winter 2011",
 346   title = "{G}ames of {G}o on {D}isk --- {GoGoD} {E}ncyclopaedia and {D}atabase, {A}rticles on {F}amous {P}layers -- Honinbo Dosaku",
 347   url = "http://www.gogod.co.uk/",
 348   owner = "jm"
 349 }
 350
 351 @INPROCEEDINGS{pls,
 352     author = "Roman Rosipal and Nicole Krämer",
 353     title = "Overview and recent advances in partial least squares",
 354     booktitle = "in ‘Subspace, Latent Structure and Feature Selection Techniques’, Lecture Notes in Computer Science",
 355     url = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.7735",
 356     cited = "2013\.02\.07",
 357     year = "2006",
 358     pages = "34--51",
 359     publisher = "Springer",
 360     owner = "jm"
 361 }
 362
 363 @book{haykin_nn,
 364     abstract = "Provides a comprehensive foundation of neural networks, recognizing the
 365 multidisciplinary nature of the subject, supported with examples, computer-
 366 oriented experiments, end of chapter problems, and a bibliography. {DLC}: Neural
 367 networks (Computer science).",
 368     author = "Haykin, Simon",
 369     day = "16",
 370     edition = "2",
 371     howpublished = "Hardcover",
 372     isbn = "0132733501",
 373     month = "jul",
 374     address="",
 375     publisher = "Prentice Hall",
 376     title = "Neural Networks: A Comprehensive Foundation (2nd Edition)",
 377     url = "http://www.worldcat.org/isbn/0132733501",
 378     year = "1998",
 379     owner = "jm"
 380
 381 }
 382
 383 @ONLINE{GnuGo,
 384   author = "Daniel Bump and Gunnar Farneback and Arend Bayer and others",
 385   year = "2009",
 386   title = "{GNU} {G}o",
 387   url = "http://www.gnu.org/software/gnugo/",
 388   owner = "jm",
 389   timestamp = "2012.03.27"
 390 }
 391
 392 @ONLINE{Pachi,
 393   author = "{B}audi{\v{s}}, {P}etr and others",
 394   year = "2012",
 395   title = "Pachi --- {S}imple {G}o/{B}aduk/{W}eiqi {B}ot",
 396   url = "http://repo.or.cz/w/pachi.git",
 397   owner = "pasky"
 398 }
 399
 400 @ONLINE{GoR,
 401   author = "Ales Cieply and others",
 402   year = "2011",
 403   title = "{EGF} ratings system -- {S}ystem description",
 404   url = "http://www.europeangodatabase.eu/EGD/EGF_rating_system.php",
 405   owner = "pasky",
 406   timestamp = "2011.03.10"
 407 }
 408
 409 @ONLINE{ProGoR,
 410   author = "Ales Cieply and others",
 411   year = "2008",
 412   title = "{G}o {R}atings of {P}rofessional and {S}trong {A}mateur {P}layers",
 413   url = "http://www.goweb.cz/progor",
 414   owner = "pasky"
 415 }
 416
 417 @ARTICLE{CoverHart1967,
 418   author = "Thomas M. Cover and Peter E. Hart",
 419   title = "Nearest neighbor pattern classification",
 420   journal = "IEEE Transactions on Information Theory",
 421   year = "1967",
 422   volume = "13",
 423   pages = "21-27",
 424   doi="10.1109/TIT.1967.1053964",
 425   number = "1",
 426   owner = "hellboy",
 427   timestamp = "2010.03.10"
 428 }
 429
 430 @INPROCEEDINGS{PatElo,
 431   author = "{C}oulom, {R}{\'e}mi",
 432   title = "{C}omputing {E}lo {R}atings of {M}ove {P}atterns in the {G}ame of {G}o",
 433   booktitle = "{C}omputer {G}ames {W}orkshop ",
 434   year = "2007",
 435   editor = "van den {H}erik, {H}. {J}aap and {M}ark {W}inands and {J}os {U}iterwijk and {M}aarten {S}chadd",
 436   address = "{A}msterdam {P}ays-{B}as ",
 437   abstract = "{M}ove patterns are an essential method to incorporate domain knowledge
 438         into {G}o-playing programs. {T}his paper presents a new {B}ayesian
 439         technique for supervised learning of such patterns from game records,
 440         based on a generalization of {E}lo ratings. {E}ach sample move in
 441         the training data is considered as a victory of a team of pattern
 442         features. {E}lo ratings of individual pattern features are computed
 443         from these victories, and can be used in previously unseen positions
 444         to compute a probability distribution over legal moves. {I}n this
 445         approach, several pattern features may be combined, without an exponential
 446         cost in the number of features. {D}espite a very small number of
 447         training games (652), this algorithm outperforms most previous pattern-learning
 448         algorithms, both in terms of mean log-evidence (−2.69), and prediction
 449         rate (34.9%). {A} 19x19 {M}onte-{C}arlo program improved with these
 450         patterns reached the level of the strongest classical programs.",
 451   affiliation = "{SEQUEL} - {INRIA} {F}uturs - {INRIA} - {CNRS} : {UMR}8022 - {CNRS}
 452         : {UMR}8146 - {U}niversit{\'e} des {S}ciences et {T}echnologies de
 453         {L}ille - {L}ille {I} - {U}niversit{\'e} {C}harles de {G}aulle -
 454         {L}ille {III} - {E}cole {C}entrale de {L}ille ",
 455   audience = "non sp{\'e}cifi{\'e}e ",
 456   url = "http://hal.inria.fr/inria-00149859/en/"
 457 }
 458
 459 @BOOK{Bayes,
 460   title = "Pattern classification and scene analysis",
 461   publisher = "A Wiley-Interscience Publication, New York: Wiley",
 462   year = "1973",
 463   author = "{Duda}, R.~O. and {Hart}, P.~E."
 464 }
 465
 466 @BOOK{Elo,
 467   title = "The rating of chessplayers, past and present",
 468   publisher = "Arco, New York",
 469   year = "1978",
 470   author = "Arpad E. Elo",
 471   isbn = "0668047216",
 472   owner = "pasky"
 473 }
 474
 475 @ONLINE{GTP,
 476   author = "{Gunnar Farneb\"ack}",
 477   year = "2001",
 478   title = "GTP --- {G}o {T}ext {P}rotocol (version 1)",
 479   url = "http://www.lysator.liu.se/~gunnar/gtp/",
 480   owner = "pasky"
 481 }
 482
 483 @ONLINE{Kombilo,
 484   author = "Ulrich G{\"o}rtz",
 485   year = "2012",
 486   title = "Kombilo --- a {G}o database program (version 0.7)",
 487   url = "http://www.u-go.net/kombilo/",
 488   owner = "pasky"
 489 }
 490
 491 @ONLINE{GTL,
 492   author = "Jean-loup Gailly and Bill Hosken and others",
 493   year = "2011",
 494   title = "{T}he {G}o {T}eaching {L}adder",
 495   url = "http://gtl.xmp.net/",
 496   owner = "pasky"
 497 }
 498
 499 @INPROCEEDINGS{GellySilver2008,
 500   author = "Gelly, Sylvain and Silver, David",
 501   title = "Achieving master level play in 9x9 computer go",
 502   booktitle = "AAAI'08: Proceedings of the 23rd national conference on Artificial intelligence",
 503   year = "2008",
 504   pages = "1537--1540",
 505   publisher = "AAAI Press",
 506   abstract = "The UCT algorithm uses Monte-Carlo simulation to estimate the value
 507         of states in a search tree from the current state. However, the first
 508         time a state is encountered, UCT has no knowledge, and is unable
 509         to generalise from previous experience. We describe two extensions
 510         that address these weaknesses. Our first algorithm, heuristic UCT,
 511         incorporates prior knowledge in the form of a value function. The
 512         value function can be learned offline, using a linear combination
 513         of a million binary features, with weights trained by temporal-difference
 514         learning. Our second algorithm, UCT-RAVE, forms a rapid online generalisation
 515         based on the value of moves. We applied our algorithms to the domain
 516         of 9 × 9 Computer Go, using the program MoGo. Using both heuristic
 517         UCT and RAVE, MoGo became the first program to achieve human master
 518         level in competitive play.",
 519   isbn = "978-1-57735-368-3",
 520   location = "Chicago, Illinois"
 521 }
 522
 523 @INPROCEEDINGS{CompAwar,
 524   author = "Ghoneim, A.S. and Essam, D.L. and Abbass, H.A.",
 525   title = "Competency awareness in strategic decision making",
 526   booktitle = "Cognitive Methods in Situation Awareness and Decision Support (CogSIMA),
 527         2011 IEEE First International Multi-Disciplinary Conference on",
 528   year = "2011",
 529   pages = "106 -109",
 530   month = "feb.",
 531   doi = "10.1109/COGSIMA.2011.5753426",
 532   keywords = "competency awareness;data mining;human-played GO games;mental picture;player
 533         skill;psychological tests;real-time monitoring;reasoning;skill-assessment
 534         tests;strategic decision making;time-series analysis;cognition;computer
 535         games;data mining;decision making;psychology;time series;",
 536   owner = "jm",
 537   timestamp = "2012.03.27"
 538 }
 539
 540 @ONLINE{GoDiscThread,
 541   author = "GoDiscussions",
 542   title = "{P}ro {S}tyles (discussion thread)",
 543   url = "http://www.godiscussions.com/forum/showthread.php?t=10980",
 544   owner = "pasky"
 545 }
 546
 547 @ONLINE{MoyoGo,
 548   author = "Frank de Groot",
 549   year = "2005",
 550   title = "{M}oyo {G}o {S}tudio",
 551   url = "http://www.moyogo.com/",
 552   owner = "pasky"
 553 }
 554
 555
 556 @BOOK{Haykin1994,
 557   title = "Neural Networks: A Comprehensive Foundation",
 558   publisher = "Macmillan",
 559   year = "1994",
 560   author = "Haykin, S.",
 561   address = "New York",
 562   citeulike-article-id = "2429223",
 563   keywords = "neural\_nets",
 564   owner = "hellboy",
 565   posted-at = "2008-02-26 12:33:02",
 566   priority = "2",
 567   timestamp = "2010.06.13"
 568 }
 569
 570 @ONLINE{SGF,
 571   author = "Arno Hollosi",
 572   year = "2006",
 573   title = "{SGF} {F}ile {F}ormat",
 574   url = "http://www.red-bean.com/sgf/",
 575   owner = "pasky"
 576 }
 577
 578 @MISC{SociomapsPersonal,
 579   author = "{{H}\"{o}schl, {C}yril}",
 580   howpublished = "personal communication",
 581   year = "2010"
 582 }
 583
 584 @BOOK{Sociomaps,
 585   title = "Visualization of Sociomaps",
 586   publisher = "Bachelor Thesis, MFF UK",
 587   year = "2006",
 588   author = "{{H}\"{o}schl, {C}yril}",
 589   location = "Praha"
 590 }
 591
 592 @BOOK{Jolliffe1986,
 593   title = "Principal Component Analysis",
 594   publisher = "Springer",
 595   address ="New York",
 596   year = "1986",
 597   author = "I.T. Jolliffe",
 598   owner = "hellboy"
 599 }
 600 @ONLINE{style:baduk,
 601   author = "Alexander Dinerchtein",
 602   year = "2012",
 603   title = "What is your playing style?",
 604   url = "http://style.baduk.com",
 605   owner = "jm",
 606   cited = "8.\,4.\,2013"
 607 }
 608
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 614   owner = "jm"
 615 }
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 621   owner = "jm"
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 623 @INPROCEEDINGS{crossval,
 624     author = {Ron Kohavi},
 625     title = {A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection},
 626     booktitle = {},
 627     year = {1995},
 628     pages = {1137--1143},
 629     publisher = {Morgan Kaufmann}
 630 }
 631
 632 @ONLINE{KGS,
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 634   author = "William Shubert",
 635   title = "{KGS} --- Kiseido Go Server",
 636   url = "http://www.gokgs.com/",
 637   owner = "jm"
 638 }
 639
 640 @ONLINE{KGSArchives,
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 642   author = "William Shubert",
 643   title = "{KGS} Archives --- Kiseido Go Server",
 644   url = "http://www.gokgs.com/archives.jsp",
 645   owner = "jm"
 646 }
 647
 648 @ONLINE{KGSAnalytics,
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 650   year = "2010",
 651   title = "{KGS} {A}nalytics",
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 653   owner = "pasky"
 654 }
 655
 656 @ONLINE{NaiveBayes1,
 657   author = "{K}eselj, {V}lado and {L}in, {Y}ung-chung and others",
 658   year = "2011",
 659   title = "{AI::NaiveBayes1} {CPAN} {M}odule",
 660   url = "http://search.cpan.org/~vlado/AI-NaiveBayes1-2.006/NaiveBayes1.pm",
 661   owner = "pasky"
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 667   howpublished = "Released under {MIT} License",
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 670   timestamp = "2010.03.10"
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 678   owner = "jm"
 679 }
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 686 }
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 692   url = "http://repo.or.cz/w/gostyle.git",
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 694 }
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 696 @article{GoStyleArxiv,
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 698   title     = "On Move Pattern Trends in a Large Go Games Corpus",
 699   journal   = "Arxiv, CoRR",
 700   month = "October",
 701   year      = "2012",
 702   url        = "http://arxiv.org/abs/1209.5251",
 703   bibsource = "DBLP, http://dblp.uni-trier.de"
 704 }
 705 volume    = "abs/1209.5251",
 706
 707 @ONLINE{GoStyleWeb,
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 712   owner = "jm"
 713 }
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 722
 723 @article{curk05,
 724   author = {Tomaž Curk and Janez Demšar and Qikai Xu and Gregor Leban and
 725     Uroš Petrovič and Ivan Bratko and Gad Shaulsky and Blaž Zupan},
 726   title = {Microarray data mining with visual programming},
 727   journal = {Bioinformatics},
 728   volume = {21},
 729   issue = {3},
 730   month = feb,
 731   year = {2005},
 732   issn = {1367-4803},
 733   pages = {396--398},
 734   numpages = {3},
 735   url = {http://bioinformatics.oxfordjournals.org/content/21/3/396.full.pdf},
 736   publisher = {Oxford University Press},
 737   address = {Oxford, UK},
 738 }
 739
 740 @TECHREPORT{Nissen2003,
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 742   title = "Implementation of a Fast Artificial Neural Network Library (fann)",
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 744   year = "2003",
 745   note = "http://fann.sf.net",
 746   owner = "hellboy",
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 748 }
 749
 750 @ONLINE{Python27,
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 755   url = "http://www.python.org/dev/peps/pep-0373/",
 756   owner = "jm",
 757   timestamp = "2013.01.28"
 758 }
 759
 760 @ONLINE{Python25,
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 762   month = "September",
 763   year = "2006",
 764   title = "{P}ython 2.5",
 765   url = "http://www.python.org/dev/peps/pep-0356/",
 766   owner = "hellboy",
 767   timestamp = "2009.04.29"
 768 }
 769
 770 @ONLINE{SociomapSite,
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 772   year = "2012",
 773   title = "{S}ociomapping {S}uite",
 774   url = "http://www.sociomap.com/",
 775   owner = "pasky"
 776 }
 777
 778 @ONLINE{TPA,
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 780   year = "2012",
 781   title = "{T}eam {P}rofile {A}nalyzer",
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 783   owner = "pasky"
 784 }
 785
 786 @INPROCEEDINGS{Riedmiller1993,
 787   author = "Martin Riedmiller and Heinrich Braun",
 788   title = "{A Direct Adaptive Method for Faster Backpropagation Learning: The
 789         RPROP Algorithm}",
 790   booktitle = "IEEE International Conference on Neural Networks",
 791   year = "1993",
 792   pages = "586--591",
 793   owner = "hellboy",
 794   timestamp = "2010.03.07"
 795 }
 796
 797 @article{freeviz,
 798 title = "FreeViz --- An intelligent multivariate visualization approach to explorative analysis of biomedical data",
 799 journal = "Journal of Biomedical Informatics",
 800 volume = "40",
 801 number = "6",
 802 pages = "661 - 671",
 803 year = "2007",
 804 note = "Intelligent Data Analysis in Biomedicine",
 805 issn = "1532-0464",
 806 doi = "10.1016/j.jbi.2007.03.010",
 807 url = "http://www.sciencedirect.com/science/article/pii/S1532046407000275",
 808 author = "Janez Dem{\v{s}}ar and Gregor Leban and Bla{\v{z}} Zupan"
 809 }
 810
 811
 812 @ARTICLE{Pearson,
 813   author = "J. L. Rodgers and W. A. Nicewander",
 814   title = "{Thirteen ways to look at the correlation coefficient}",
 815   journal = "The American Statistician",
 816   year = "1988",
 817   volume = "42",
 818   pages = "59--66",
 819   number = "1",
 820   month = "Feb",
 821   owner = "pasky"
 822 }
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 824 @ONLINE{RankComparison,
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 826   year = "2012, March",
 827   title = "Rank --- worldwide comparison",
 828   url = "http://senseis.xmp.net/?RankWorldwideComparison",
 829   owner = "pasky"
 830 }
 831
 832 @INPROCEEDINGS{SpatPat,
 833   author = "Stern, David and Herbrich, Ralf and Graepel, Thore",
 834   title = "Bayesian pattern ranking for move prediction in the game of Go",
 835   booktitle = "ICML '06: Proceedings of the 23rd international conference on Machine
 836         learning",
 837   year = "2006",
 838   pages = "873--880",
 839   address = "New York, NY, USA",
 840   publisher = "ACM",
 841   doi = "http://doi.acm.org/10.1145/1143844.1143954",
 842   isbn = "1-59593-383-2",
 843   location = "Pittsburgh, Pennsylvania"
 844 }
 845
 846 @INPROCEEDINGS{TeamProf,
 847   author = "{S}rb, {T}omas and {S}\'{y}kora, Jiri and {B}ahbouh, {R}advan and {H}{\"o}schl, {C}yril",
 848   title = "Using Visualisation of Group Structure and Dynamics in Team Development",
 849   booktitle = "50th Conference of the International Military Training Association",
 850   year = "2008",
 851   location = "Amsterdam"
 852 }
 853
 854 @ARTICLE{MDP,
 855   author = "Zito Tiziano and Wilbert Niko and Wiskott Laurenz and Berkes Pietro",
 856   title = "Modular toolkit for {D}ata {P}rocessing ({MDP}): a {P}ython data processing framework",
 857   journal = "Frontiers in Neuroinformatics",
 858   year = "2008",
 859   volume = "2",
 860   abstract = "Modular toolkit for Data Processing (MDP) is a data processing framework
 861         written in Python. From the user&#39;s perspective, MDP is a collection
 862         of supervised and unsupervised learning algorithms and other data
 863         processing units that can be combined into data processing sequences
 864         and more complex feed-forward network architectures. Computations
 865         are performed efficiently in terms of speed and memory requirements.
 866         From the scientific developer&#39;s perspective, MDP is a modular
 867         framework, which can easily be expanded. The implementation of new
 868         algorithms is easy and intuitive. The new implemented units are then
 869         automatically integrated with the rest of the library. MDP has been
 870         written in the context of theoretical research in neuroscience, but
 871         it has been designed to be helpful in any context where trainable
 872         data processing algorithms are used. Its simplicity on the user&#39;s
 873         side, the variety of readily available algorithms, and the reusability
 874         of the implemented units make it also a useful educational tool.",
 875   doi = "10.3389/neuro.11/008.2008",
 876   issn = "ISSN 1662-5196",
 877   owner = "hellboy",
 878   timestamp = "2010.03.05"
 879 }
 880
 881 @comment{jabref-meta: selector_publisher:}
 882
 883 @comment{jabref-meta: selector_author:}
 884
 885 @comment{jabref-meta: selector_journal:}
 886
 887 @comment{jabref-meta: selector_keywords:}
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