tex/gostyle.bib

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   3
   4 @ELECTRONIC{GnuGo,
   5   author = {Daniel Bump and Gunnar Farneback and Arend Bayer and others},
   6   year = {2009},
   7   title = {{GNU} {G}o},
   8   url = {http://www.gnu.org/software/gnugo/},
   9   owner = {jm},
  10   timestamp = {2012.03.27}
  11 }
  12
  13 @ELECTRONIC{Pachi,
  14   author = {{B}audi\v{s}, {P}etr and others},
  15   year = {2012},
  16   title = {Pachi --- {S}imple {G}o/{B}aduk/{W}eiqi {B}ot},
  17   url = {http://repo.or.cz/w/pachi.git},
  18   owner = {pasky}
  19 }
  20
  21 @ELECTRONIC{GoR,
  22   author = {Ales Cieply and others},
  23   year = {2011},
  24   title = {{EGF} ratings system -- {S}ystem description},
  25   url = {http://www.europeangodatabase.eu/EGD/EGF_rating_system.php},
  26   owner = {pasky},
  27   timestamp = {2011.03.10}
  28 }
  29
  30 @ELECTRONIC{ProGoR,
  31   author = {Ales Cieply and others},
  32   year = {2008},
  33   title = {{G}o {R}atings of {P}rofessional and {S}trong {A}mateur {P}layers},
  34   url = {http://www.goweb.cz/progor},
  35   owner = {pasky}
  36 }
  37
  38 @ARTICLE{CoverHart1967,
  39   author = {Thomas M. Cover and Peter E. Hart},
  40   title = {Nearest neighbor pattern classification},
  41   journal = {IEEE Transactions on Information Theory},
  42   year = {1967},
  43   volume = {13},
  44   pages = {21-27},
  45   number = {1},
  46   owner = {hellboy},
  47   timestamp = {2010.03.10}
  48 }
  49
  50 @INPROCEEDINGS{PatElo,
  51   author = {{C}oulom, {R}{\'e}mi},
  52   title = { {C}omputing {E}lo {R}atings of {M}ove {P}atterns in the {G}ame of
  53         {G}o},
  54   booktitle = {{C}omputer {G}ames {W}orkshop },
  55   year = {2007},
  56   editor = {van den {H}erik, {H}. {J}aap and {M}ark {W}inands and {J}os {U}iterwijk
  57         and {M}aarten {S}chadd},
  58   address = {{A}msterdam {P}ays-{B}as },
  59   abstract = {{M}ove patterns are an essential method to incorporate domain knowledge
  60         into {G}o-playing programs. {T}his paper presents a new {B}ayesian
  61         technique for supervised learning of such patterns from game records,
  62         based on a generalization of {E}lo ratings. {E}ach sample move in
  63         the training data is considered as a victory of a team of pattern
  64         features. {E}lo ratings of individual pattern features are computed
  65         from these victories, and can be used in previously unseen positions
  66         to compute a probability distribution over legal moves. {I}n this
  67         approach, several pattern features may be combined, without an exponential
  68         cost in the number of features. {D}espite a very small number of
  69         training games (652), this algorithm outperforms most previous pattern-learning
  70         algorithms, both in terms of mean log-evidence (−2.69), and prediction
  71         rate (34.9%). {A} 19x19 {M}onte-{C}arlo program improved with these
  72         patterns reached the level of the strongest classical programs.},
  73   affiliation = {{SEQUEL} - {INRIA} {F}uturs - {INRIA} - {CNRS} : {UMR}8022 - {CNRS}
  74         : {UMR}8146 - {U}niversit{\'e} des {S}ciences et {T}echnologies de
  75         {L}ille - {L}ille {I} - {U}niversit{\'e} {C}harles de {G}aulle -
  76         {L}ille {III} - {E}cole {C}entrale de {L}ille },
  77   audience = {non sp{\'e}cifi{\'e}e },
  78   url = {http://hal.inria.fr/inria-00149859/en/}
  79 }
  80
  81 @BOOK{Bayes,
  82   title = {Pattern classification and scene analysis},
  83   publisher = {A Wiley-Interscience Publication, New York: Wiley},
  84   year = {1973},
  85   author = {{Duda}, R.~O. and {Hart}, P.~E.}
  86 }
  87
  88 @BOOK{Elo,
  89   title = {The rating of chessplayers, past and present},
  90   publisher = {Arco, New York},
  91   year = {1978},
  92   author = {Arpad E. Elo},
  93   isbn = {0668047216},
  94   owner = {pasky}
  95 }
  96
  97 @ELECTRONIC{GTP,
  98   author = {Gunnar Farneb\"{a}ck},
  99   year = {2001},
 100   title = {GTP --- {G}o {T}ext {P}rotocol (version 1)},
 101   url = {http://www.lysator.liu.se/~gunnar/gtp/},
 102   owner = {pasky}
 103 }
 104
 105 @ELECTRONIC{Kombilo,
 106   author = {Ulrich G\"ortz},
 107   year = {2012},
 108   title = {Kombilo --- a {G}o database program (version 0.7)},
 109   url = {http://www.u-go.net/kombilo/},
 110   owner = {pasky}
 111 }
 112
 113 @ELECTRONIC{GTL,
 114   author = {Jean-loup Gailly and Bill Hosken and others},
 115   year = {2011},
 116   title = {{T}he {G}o {T}eaching {L}adder},
 117   url = {http://gtl.xmp.net/},
 118   owner = {pasky}
 119 }
 120
 121 @INPROCEEDINGS{GellySilver2008,
 122   author = {Gelly, Sylvain and Silver, David},
 123   title = {Achieving master level play in 9x9 computer go},
 124   booktitle = {AAAI'08: Proceedings of the 23rd national conference on Artificial
 125         intelligence},
 126   year = {2008},
 127   pages = {1537--1540},
 128   publisher = {AAAI Press},
 129   abstract = {The UCT algorithm uses Monte-Carlo simulation to estimate the value
 130         of states in a search tree from the current state. However, the first
 131         time a state is encountered, UCT has no knowledge, and is unable
 132         to generalise from previous experience. We describe two extensions
 133         that address these weaknesses. Our first algorithm, heuristic UCT,
 134         incorporates prior knowledge in the form of a value function. The
 135         value function can be learned offline, using a linear combination
 136         of a million binary features, with weights trained by temporal-difference
 137         learning. Our second algorithm, UCT-RAVE, forms a rapid online generalisation
 138         based on the value of moves. We applied our algorithms to the domain
 139         of 9 × 9 Computer Go, using the program MoGo. Using both heuristic
 140         UCT and RAVE, MoGo became the first program to achieve human master
 141         level in competitive play.},
 142   isbn = {978-1-57735-368-3},
 143   location = {Chicago, Illinois}
 144 }
 145
 146 @INPROCEEDINGS{CompAwar,
 147   author = {Ghoneim, A.S. and Essam, D.L. and Abbass, H.A.},
 148   title = {Competency awareness in strategic decision making},
 149   booktitle = {Cognitive Methods in Situation Awareness and Decision Support (CogSIMA),
 150         2011 IEEE First International Multi-Disciplinary Conference on},
 151   year = {2011},
 152   pages = {106 -109},
 153   month = {feb.},
 154   doi = {10.1109/COGSIMA.2011.5753426},
 155   keywords = {competency awareness;data mining;human-played GO games;mental picture;player
 156         skill;psychological tests;real-time monitoring;reasoning;skill-assessment
 157         tests;strategic decision making;time-series analysis;cognition;computer
 158         games;data mining;decision making;psychology;time series;},
 159   owner = {jm},
 160   timestamp = {2012.03.27}
 161 }
 162
 163 @ELECTRONIC{GoDiscThread,
 164   author = {GoDiscussions},
 165   title = {{P}ro {S}tyles (discussion thread)},
 166   url = {http://www.godiscussions.com/forum/showthread.php?t=10980},
 167   owner = {pasky}
 168 }
 169
 170 @ELECTRONIC{MoyoGo,
 171   author = {Frank de Groot},
 172   year = {2005},
 173   title = {{M}oyo {G}o {S}tudio},
 174   url = {http://www.moyogo.com/},
 175   owner = {pasky}
 176 }
 177
 178 @ELECTRONIC{GoGoD,
 179   author = {Hall, T. Mark and Fairbairn, John},
 180   year = {winter 2008},
 181   title = {{G}ames of {G}o on {D}isk --- {GoGoD} {E}ncyclopaedia and {D}atabase},
 182   url = {http://www.gogod.co.uk/},
 183   owner = {pasky}
 184 }
 185
 186 @BOOK{Haykin1994,
 187   title = {Neural Networks: A Comprehensive Foundation},
 188   publisher = {Macmillan},
 189   year = {1994},
 190   author = {Haykin, S.},
 191   address = {New York},
 192   citeulike-article-id = {2429223},
 193   keywords = {neural\_nets},
 194   owner = {hellboy},
 195   posted-at = {2008-02-26 12:33:02},
 196   priority = {2},
 197   timestamp = {2010.06.13}
 198 }
 199
 200 @ELECTRONIC{SGF,
 201   author = {Arno Hollosi},
 202   year = {2006},
 203   title = {{SGF} {F}ile {F}ormat},
 204   url = {http://www.red-bean.com/sgf/},
 205   owner = {pasky}
 206 }
 207
 208 @MISC{SociomapsPersonal,
 209   author = {{H}\"{o}schl, {C}yril},
 210   howpublished = {personal communication},
 211   year = {2010}
 212 }
 213
 214 @BOOK{Sociomaps,
 215   title = {Visualization of Sociomaps},
 216   publisher = {Bachelor Thesis, MFF UK},
 217   year = {2006},
 218   author = {{H}\"{o}schl, {C}yril},
 219   location = {Praha}
 220 }
 221
 222 @BOOK{Jolliffe1986,
 223   title = {Principal Component Analysis},
 224   publisher = {Springer, New York},
 225   year = {1986},
 226   author = {I.T. Jolliffe},
 227   owner = {hellboy}
 228 }
 229
 230 @ELECTRONIC{KGSAnalytics,
 231   author = {Kazuhiro},
 232   year = {2010},
 233   title = {{KGS} {A}nalytics},
 234   url = {http://kgs.gosquares.net/},
 235   owner = {pasky}
 236 }
 237
 238 @ELECTRONIC{NaiveBayes1,
 239   author = {{K}eselj, {V}lado and {L}in, {Y}ung-chung and others},
 240   year = {2011},
 241   title = {{AI::NaiveBayes1} {CPAN} {M}odule},
 242   url = {http://search.cpan.org/~vlado/AI-NaiveBayes1-2.006/NaiveBayes1.pm},
 243   owner = {pasky}
 244 }
 245
 246 @ELECTRONIC{KohonenPy,
 247   author = {lmjohns3},
 248   title = {python-kohonen, {A} library of {Kohonen} maps},
 249   howpublished = {Released under {MIT} License},
 250   url = {http://code.google.com/p/python-kohonen/},
 251   owner = {hellboy},
 252   timestamp = {2010.03.10}
 253 }
 254
 255 @ELECTRONIC{GoStyle,
 256   author = {{M}oud\v{r}\'{i}k, {J}osef and {B}audi\v{s}, {P}etr},
 257   year = {2011},
 258   title = {{GoStyle} --- {D}etermine playing style in the game of {G}o},
 259   url = {http://repo.or.cz/w/gostyle.git},
 260   owner = {pasky}
 261 }
 262
 263 @TECHREPORT{Nissen2003,
 264   author = {S. Nissen},
 265   title = {Implementation of a Fast Artificial Neural Network Library (fann)},
 266   institution = {Department of Computer Science University of Copenhagen (DIKU)},
 267   year = {2003},
 268   note = {http://fann.sf.net},
 269   owner = {hellboy},
 270   timestamp = {2010.03.10}
 271 }
 272
 273 @ELECTRONIC{Python25,
 274   author = {{Python Software Foundation}},
 275   month = {September},
 276   year = {2006},
 277   title = {{P}ython 2.5},
 278   url = {http://www.python.org/dev/peps/pep-0356/},
 279   owner = {hellboy},
 280   timestamp = {2009.04.29}
 281 }
 282
 283 @ELECTRONIC{SociomapSite,
 284   author = {{QED GROUP}},
 285   year = {2012},
 286   title = {{S}ociomapping {S}uite},
 287   url = {http://www.sociomap.com/},
 288   owner = {pasky}
 289 }
 290
 291 @ELECTRONIC{TPA,
 292   author = {{QED GROUP}},
 293   year = {2012},
 294   title = {{T}eam {P}rofile {A}nalyzer},
 295   url = {http://www.teamprofileanalyzer.com/},
 296   owner = {pasky}
 297 }
 298
 299 @INPROCEEDINGS{Riedmiller1993,
 300   author = {Martin Riedmiller and Heinrich Braun},
 301   title = {{A Direct Adaptive Method for Faster Backpropagation Learning: The
 302         RPROP Algorithm}},
 303   booktitle = {IEEE International Conference on Neural Networks},
 304   year = {1993},
 305   pages = {586--591},
 306   owner = {hellboy},
 307   timestamp = {2010.03.07}
 308 }
 309
 310 @ARTICLE{Pearson,
 311   author = {J. L. Rodgers and W. A. Nicewander},
 312   title = {{Thirteen ways to look at the correlation coefficient}},
 313   journal = {The American Statistician},
 314   year = {1988},
 315   volume = {42},
 316   pages = {59--66},
 317   number = {1},
 318   month = {Feb},
 319   owner = {pasky}
 320 }
 321
 322 @ELECTRONIC{RankComparison,
 323   author = {{Sensei's Library}},
 324   year = {2012, March},
 325   title = {Rank --- worldwide comparison},
 326   url = {http://senseis.xmp.net/?RankWorldwideComparison},
 327   owner = {pasky}
 328 }
 329
 330 @INPROCEEDINGS{SpatPat,
 331   author = {Stern, David and Herbrich, Ralf and Graepel, Thore},
 332   title = {Bayesian pattern ranking for move prediction in the game of Go},
 333   booktitle = {ICML '06: Proceedings of the 23rd international conference on Machine
 334         learning},
 335   year = {2006},
 336   pages = {873--880},
 337   address = {New York, NY, USA},
 338   publisher = {ACM},
 339   doi = {http://doi.acm.org/10.1145/1143844.1143954},
 340   isbn = {1-59593-383-2},
 341   location = {Pittsburgh, Pennsylvania}
 342 }
 343
 344 @INPROCEEDINGS{TeamProf,
 345   author = {{S}rb, {T}omas and {S}\'{y}kora, Jiri and {B}ahbouh, {R}advan and
 346         {H}\"{o}schl, {C}yril},
 347   title = {Using Visualisation of Group Structure and Dynamics in Team Development},
 348   booktitle = {50th Conference of the International Military Training Association},
 349   year = {2008},
 350   location = {Amsterdam}
 351 }
 352
 353 @ARTICLE{MDP,
 354   author = {Zito Tiziano and Wilbert Niko and Wiskott Laurenz and Berkes Pietro},
 355   title = {Modular toolkit for {D}ata {P}rocessing ({MDP}): a {P}ython data
 356         processing framework},
 357   journal = {Frontiers in Neuroinformatics},
 358   year = {2008},
 359   volume = {2},
 360   abstract = {Modular toolkit for Data Processing (MDP) is a data processing framework
 361         written in Python. From the user&#39;s perspective, MDP is a collection
 362         of supervised and unsupervised learning algorithms and other data
 363         processing units that can be combined into data processing sequences
 364         and more complex feed-forward network architectures. Computations
 365         are performed efficiently in terms of speed and memory requirements.
 366         From the scientific developer&#39;s perspective, MDP is a modular
 367         framework, which can easily be expanded. The implementation of new
 368         algorithms is easy and intuitive. The new implemented units are then
 369         automatically integrated with the rest of the library. MDP has been
 370         written in the context of theoretical research in neuroscience, but
 371         it has been designed to be helpful in any context where trainable
 372         data processing algorithms are used. Its simplicity on the user&#39;s
 373         side, the variety of readily available algorithms, and the reusability
 374         of the implemented units make it also a useful educational tool.},
 375   doi = {10.3389/neuro.11/008.2008},
 376   issn = {ISSN 1662-5196},
 377   owner = {hellboy},
 378   timestamp = {2010.03.05}
 379 }
 380
 381 @comment{jabref-meta: selector_publisher:}
 382
 383 @comment{jabref-meta: selector_author:}
 384
 385 @comment{jabref-meta: selector_journal:}
 386
 387 @comment{jabref-meta: selector_keywords:}
 388