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"
,
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."
,
19 @ONLINE
{GoAncientChina
,
20 author = "John Fairbairn"
,
22 title = "Go in Ancient China"
,
23 url
= "http
://www.pandanet.co.jp
/English
/essay
/goancientchina.html"
,
24 cited
= "
15.\
,1.\
,2013"
,
30 title = "Go
(game
) --- Wikipedia
{,} The Free Encyclopedia"
,
32 url
= "http
://en.wikipedia.org
/w
/index.php?
title=Go_
(game
)\
&oldid
=532253814"
,
33 cited
= "
15.\
,1.\
,2013"
36 @ONLINE
{ wiki
:go_handi
,
38 title = "Go handicaps
--- Wikipedia
{,} The Free Encyclopedia"
,
40 url
= "http
://en.wikipedia.org
/w
/index.php?
title=Go_handicaps
&oldid
=505279363"
,
41 cited
= "
16.\
,1.\
,2013"
44 @ONLINE
{ wiki
:go_rank
,
46 title = "Go ranks and ratings
--- Wikipedia
{,} The Free Encyclopedia"
,
48 url
= "http
://en.wikipedia.org
/w
/index.php?
title=Go_ranks_and_ratings
&oldid
=522963011"
,
49 cited
= "
18.\
,1.\
,2013"
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
},
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},
64 url
= "http
://www.doc.ic.ac.uk
/~sgc
/papers
/browne_ieee12.pdf"
,
68 @ONLINE
{ wiki
:computer_go
,
70 title = "Computer Go
--- Wikipedia
{,} The Free Encyclopedia"
,
72 url
= "http
://en.wikipedia.org
/w
/index.php?
title=Computer_Go
&oldid
=530803356"
,
73 cited
= "
17.\
,1.\
,2013"
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"
,
82 cited
= "
8.\
,4.\
,2013"
86 author = "
{Sensei's Library
}"
,
87 title = "
4-4 point low approach one
-space low pincer"
,
88 url
= "http
://senseis.xmp.net
/?
44PointLowApproachOneSpaceLowPincer"
,
90 cited
= "
29.\
,3.\
,2013"
93 @ONLINE
{ senseis
:empty_triangle
,
94 author = "
{Sensei's Library
}"
,
95 title = "The empty triangle is bad"
,
96 url
= "http
://senseis.xmp.net
/?TheEmptyTriangleIsBad"
,
98 cited
= "
18.\
,3.\
,2013"
101 @ONLINE
{ senseis
:styles
,
102 author = "
{Sensei's Library
}"
,
103 title = "Professional Players' Go Styles"
,
104 url
= "http
://senseis.xmp.net
/?ProfessionalPlayersGoStyles"
,
106 cited
= "
12.\
,3.\
,2013"
108 @ONLINE
{ senseis
:rank_cmp
,
109 author = "
{Sensei's Library
}"
,
110 title = "Rank
- worldwide comparison"
,
111 url
= "http
://senseis.xmp.net
/?RankWorldwideComparison"
,
113 cited
= "
16.\
,1.\
,2013"
115 @ONLINE
{ senseis
:proverbs
,
116 author = "
{Sensei's Library
}"
,
117 title = "Go Proverbs"
,
118 url
= "http
://senseis.xmp.net
/?GoProverbs"
,
120 cited
= "
18.\
,2.\
,2013"
123 @ONLINE
{ senseis
:tutorial
,
124 author = "
{Sensei's Library
}"
,
125 title = "Rules of Go
- introductory"
,
126 url
= "http
://senseis.xmp.net
/?BasicRulesOfGo"
,
128 cited
= "
15.\
,1.\
,2013"
130 @ONLINE
{ senseis
:scoring
,
131 author = "
{Sensei's Library
}"
,
133 url
= "http
://senseis.xmp.net
/?Scoring"
,
135 cited
= "
16.\
,1.\
,2013"
137 @ONLINE
{ senseis
:seki
,
138 author = "
{Sensei's Library
}"
,
140 url
= "http
://senseis.xmp.net
/?Seki"
,
142 cited
= "
16.\
,1.\
,2013"
144 @ONLINE
{ senseis
:dan
,
145 author = "
{Sensei's Library
}"
,
147 url
= "http
://senseis.xmp.net
/?Dan"
,
149 cited
= "
8.\
,2.\
,2013"
151 @ONLINE
{ senseis
:rules
,
152 author = "
{Sensei's Library
}"
,
153 title = "Rules of Go"
,
154 url
= "http
://senseis.xmp.net
/?RulesOfGo"
,
156 cited
= "
16.\
,1.\
,2013"
159 author = "
{Sensei's Library
}"
,
160 title = "Sensei's Library"
,
162 url
= "http
://senseis.xmp.net
/"
,
163 cited
= "
15.\
,1.\
,2013"
166 @ONLINE
{ computer_go
,
167 author = "Nick Wedd"
,
168 title = "Computer Go Info
--- Human
-Computer Go Challenges"
,
170 url
= "http
://www.computer
-go.info
/h
-c
/index.html"
,
171 cited
= "
8.\
,2.\
,2013"
175 author = "
{Go Census
}"
,
178 url
= "http
://web.archive.org
/web
/20021217041220/http
://www.fin.ne.jp
/~igo
/census.htm"
,
179 cited
= "
10.\
,2.\
,2013"
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"
,
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"
195 author = "Corinna Cortes and
197 title = "Support
-Vector Networks"
,
198 journal = "Machine Learning"
,
203 doi
= "
10.1007/BF00994018"
,
210 journal={Machine Learning
},
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
},
224 author = {David H. Wolpert
},
225 title = {Stacked Generalization
},
226 journal = {Neural Networks
},
230 url
= "http
://www.machine
-learning.martinsewell.com
/ensembles
/stacking
/Wolpert1992.pdf"
233 @inproceedings
{boosting
,
235 isbn
={978-3-540-59119-1},
236 booktitle={Computational Learning Theory
},
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.
},
249 title={A genetic algorithm tutorial
},
250 author={Whitley
, D.
},
251 journal={Statistics and computing
},
260 author = "Breiman
, Leo and Friedman
, J. H. and Olshen R. A. and Stone
, C. J."
,
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"
268 @article
{breimanbag96
,
269 author = {Breiman
, Leo
},
270 title = {Bagging predictors
},
271 journal = {Mach. Learn.
},
272 issue_date
= {Aug.
1996},
280 url
= {http
://dx.doi.org
/10.1023/A
:1018054314350},
281 doi
= {10.1023/A
:1018054314350},
283 publisher = {Kluwer Academic Publishers
},
284 address = {Hingham
, MA
, USA
},
285 keywords = {aggregation
, averaging
, bootstrap
, combining
},
289 author = "Breiman
, Leo"
,
290 title = "Random Forests"
,
291 journal = "Machine Learning"
,
292 issue_date
= "October
1 2001"
,
300 doi
= "
10.1023/A
:1010933404324"
,
302 publisher = "Kluwer Academic Publishers"
,
303 address = "Hingham
, MA
, USA"
,
304 keywords = "classification
, ensemble
, regression"
,
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"
,
319 url
= "http
://www.cmlab.csie.ntu.edu.tw
/~cyy
/learning
/papers
/SVR_Tutorial.pdf"
,
320 doi
= "
10.1023/B
:STCO
.0000035301.49549.88"
,
322 publisher = "Kluwer Academic Publishers"
,
323 address = "Hingham
, MA
, USA"
,
324 keywords = "machine learning
, regression estimation
, support vector machines"
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
/"
,
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
/"
,
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
/"
,
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"
,
359 publisher = "Springer"
,
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"
,
371 howpublished = "Hardcover"
,
375 publisher = "Prentice Hall"
,
376 title = "Neural Networks
: A Comprehensive Foundation
(2nd Edition
)"
,
377 url
= "http
://www.worldcat.org
/isbn
/0132733501"
,
384 author = "Daniel Bump and Gunnar Farneback and Arend Bayer and others"
,
386 title = "
{GNU
} {G
}o"
,
387 url
= "http
://www.gnu.org
/software
/gnugo
/"
,
389 timestamp
= "
2012.03.27"
393 author = "
{B
}audi
{\v
{s
}}, {P
}etr and others"
,
395 title = "Pachi
--- {S
}imple
{G
}o
/{B
}aduk
/{W
}eiqi
{B
}ot"
,
396 url
= "http
://repo.or.cz
/w
/pachi.git"
,
401 author = "Ales Cieply and others"
,
403 title = "
{EGF
} ratings system
-- {S
}ystem description"
,
404 url
= "http
://www.europeangodatabase.eu
/EGD
/EGF_rating_system.php"
,
406 timestamp
= "
2011.03.10"
410 author = "Ales Cieply and others"
,
412 title = "
{G
}o
{R
}atings of
{P
}rofessional and
{S
}trong
{A
}mateur
{P
}layers"
,
413 url
= "http
://www.goweb.cz
/progor"
,
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"
,
424 doi
="
10.1109/TIT
.1967.1053964"
,
427 timestamp
= "
2010.03.10"
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 "
,
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
/"
460 title = "Pattern classification and scene analysis"
,
461 publisher = "A Wiley
-Interscience Publication
, New York
: Wiley"
,
463 author = "
{Duda
}, R.~O. and
{Hart
}, P.~E."
467 title = "The rating of chessplayers
, past and present"
,
468 publisher = "Arco
, New York"
,
470 author = "Arpad E. Elo"
,
476 author = "
{Gunnar Farneb\"ack
}"
,
478 title = "GTP
--- {G
}o
{T
}ext
{P
}rotocol
(version
1)"
,
479 url
= "http
://www.lysator.liu.se
/~gunnar
/gtp
/"
,
484 author = "Ulrich G
{\"o
}rtz"
,
486 title = "Kombilo
--- a
{G
}o database program
(version
0.7)"
,
487 url
= "http
://www.u
-go.net
/kombilo
/"
,
492 author = "Jean
-loup Gailly and Bill Hosken and others"
,
494 title = "
{T
}he
{G
}o
{T
}eaching
{L
}adder"
,
495 url
= "http
://gtl.xmp.net
/"
,
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"
,
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"
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"
,
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;"
,
537 timestamp
= "
2012.03.27"
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"
,
548 author = "Frank de Groot"
,
550 title = "
{M
}oyo
{G
}o
{S
}tudio"
,
551 url
= "http
://www.moyogo.com
/"
,
557 title = "Neural Networks
: A Comprehensive Foundation"
,
558 publisher = "Macmillan"
,
560 author = "Haykin
, S."
,
561 address = "New York"
,
562 citeulike
-article
-id
= "
2429223"
,
563 keywords = "neural\_nets"
,
565 posted
-at
= "
2008-02-26 12:33:02"
,
567 timestamp
= "
2010.06.13"
571 author = "Arno Hollosi"
,
573 title = "
{SGF
} {F
}ile
{F
}ormat"
,
574 url
= "http
://www.red
-bean.com
/sgf
/"
,
578 @MISC
{SociomapsPersonal
,
579 author = "
{{H
}\"
{o
}schl
, {C
}yril
}"
,
580 howpublished = "personal communication"
,
585 title = "Visualization of Sociomaps"
,
586 publisher = "Bachelor Thesis
, MFF UK"
,
588 author = "
{{H
}\"
{o
}schl
, {C
}yril
}"
,
593 title = "Principal Component Analysis"
,
594 publisher = "Springer"
,
597 author = "I.T. Jolliffe"
,
601 author = "Alexander Dinerchtein"
,
603 title = "What is your playing style?"
,
604 url
= "http
://style.baduk.com"
,
606 cited
= "
8.\
,4.\
,2013"
610 author = "Jan van der Steen"
,
613 url
= "http
://www.gobase.org"
,
617 author = "Vasily Yevstygnyeyev"
,
620 url
= "http
://www.gokifu.com"
,
623 @INPROCEEDINGS
{crossval
,
624 author = {Ron Kohavi
},
625 title = {A Study of Cross
-Validation and Bootstrap for Accuracy Estimation and Model Selection
},
628 pages = {1137--1143},
629 publisher = {Morgan Kaufmann
}
634 author = "William Shubert"
,
635 title = "
{KGS
} --- Kiseido Go Server"
,
636 url
= "http
://www.gokgs.com
/"
,
642 author = "William Shubert"
,
643 title = "
{KGS
} Archives
--- Kiseido Go Server"
,
644 url
= "http
://www.gokgs.com
/archives.jsp"
,
648 @ONLINE
{KGSAnalytics
,
651 title = "
{KGS
} {A
}nalytics"
,
652 url
= "http
://kgs.gosquares.net
/"
,
657 author = "
{K
}eselj
, {V
}lado and
{L
}in
, {Y
}ung
-chung and others"
,
659 title = "
{AI
::NaiveBayes1
} {CPAN
} {M
}odule"
,
660 url
= "http
://search.cpan.org
/~vlado
/AI
-NaiveBayes1
-2.006/NaiveBayes1.pm"
,
666 title = "python
-kohonen
, {A
} library of
{Kohonen
} maps"
,
667 howpublished = "Released under
{MIT
} License"
,
668 url
= "http
://code.google.com
/p
/python
-kohonen
/"
,
670 timestamp
= "
2010.03.10"
675 author = "
{Celery Project
}"
,
676 title = "Celery Project"
,
677 url
= "http
://www.celeryproject.org"
,
682 author = "
{Google and community
}"
,
684 url
= "http
://www.angularjs.org"
,
689 author = "
{M
}oud
{\v
{r
}\'
{i
}}k
, {J
}osef and
{B
}audi
{\v
{s
}}, {P
}etr"
,
691 title = "
{GoStyle
} --- {D
}etermine playing style in the game of
{G
}o"
,
692 url
= "http
://repo.or.cz
/w
/gostyle.git"
,
696 @article
{GoStyleArxiv
,
697 author = "Petr Baudi
{\v
{s
}} and Josef Moud
{\v
{r
}\'
{i
}}k"
,
698 title = "On Move Pattern Trends in a Large Go Games Corpus"
,
699 journal = "Arxiv
, CoRR"
,
702 url
= "http
://arxiv.org
/abs
/1209.5251"
,
703 bibsource
= "DBLP
, http
://dblp.uni
-trier.de"
705 volume = "abs
/1209.5251"
,
708 author = "
{M
}oud
{\v
{r
}\'
{i
}}k
, {J
}osef and
{B
}audi
{\v
{s
}}, {P
}etr"
,
710 title = "
{GoStyle
} --- {D
}etermine playing style in the game of
{G
}o"
,
711 url
= "http
://gostyle.j2m.cz
/"
,
715 @ONLINE
{jm_orange_wrapp
,
716 author = "Josef
{M
}oud
{\v
{r
}\'
{i
}}k"
,
718 title = "Orange Hacks"
,
719 url
= "http
://www.j2m.cz
/~jm
/orange_hacks
/"
,
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
},
735 url
= {http
://bioinformatics.oxfordjournals.org
/content
/21/3/396.full.pdf
},
736 publisher = {Oxford University Press
},
737 address = {Oxford
, UK
},
740 @TECHREPORT
{Nissen2003
,
741 author = "S. Nissen"
,
742 title = "Implementation of a Fast Artificial Neural Network Library
(fann
)"
,
743 institution = "Department of Computer Science University of Copenhagen
(DIKU
)"
,
745 note = "http
://fann.sf.net"
,
747 timestamp
= "
2010.03.10"
751 author = "
{Python Software Foundation
}"
,
754 title = "
{P
}ython
2.7"
,
755 url
= "http
://www.python.org
/dev
/peps
/pep
-0373/"
,
757 timestamp
= "
2013.01.28"
761 author = "
{Python Software Foundation
}"
,
764 title = "
{P
}ython
2.5"
,
765 url
= "http
://www.python.org
/dev
/peps
/pep
-0356/"
,
767 timestamp
= "
2009.04.29"
770 @ONLINE
{SociomapSite
,
771 author = "
{QED GROUP
}"
,
773 title = "
{S
}ociomapping
{S
}uite"
,
774 url
= "http
://www.sociomap.com
/"
,
779 author = "
{QED GROUP
}"
,
781 title = "
{T
}eam
{P
}rofile
{A
}nalyzer"
,
782 url
= "http
://www.teamprofileanalyzer.com
/"
,
786 @INPROCEEDINGS
{Riedmiller1993
,
787 author = "Martin Riedmiller and Heinrich Braun"
,
788 title = "
{A Direct Adaptive Method for Faster Backpropagation Learning
: The
790 booktitle = "IEEE International Conference on Neural Networks"
,
794 timestamp
= "
2010.03.07"
798 title = "FreeViz
--- An intelligent multivariate visualization approach to explorative analysis of biomedical data"
,
799 journal = "Journal of Biomedical Informatics"
,
804 note = "Intelligent Data Analysis in Biomedicine"
,
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"
813 author = "J. L. Rodgers and W. A. Nicewander"
,
814 title = "
{Thirteen ways to look at the correlation coefficient
}"
,
815 journal = "The American Statistician"
,
824 @ONLINE
{RankComparison
,
825 author = "
{Sensei's Library
}"
,
826 year = "
2012, March"
,
827 title = "Rank
--- worldwide comparison"
,
828 url
= "http
://senseis.xmp.net
/?RankWorldwideComparison"
,
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
839 address = "New York
, NY
, USA"
,
841 doi
= "http
://doi.acm.org
/10.1145/1143844.1143954"
,
842 isbn
= "
1-59593-383-2"
,
843 location
= "Pittsburgh
, Pennsylvania"
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"
,
851 location
= "Amsterdam"
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"
,
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"
,
878 timestamp
= "
2010.03.05"
881 @comment
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883 @comment
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