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"
,
10 @MastersThesis
{Moudrik13
,
11 author = "Josef Moud
{\v
{r
}\'
{i
}}k"
,
12 title = "Meta
-learning methods for analyzing Go playing trends"
,
13 school = "Charles University
, Faculty of Mathematics and Physics"
,
14 address = "Prague
, Czech Republic"
,
15 note = "Currently in preparation."
,
18 @ONLINE
{GoAncientChina
,
19 author = "John Fairbairn"
,
21 title = "Go in Ancient China"
,
22 url
= "http
://www.pandanet.co.jp
/English
/essay
/goancientchina.html"
,
23 cited
= "
15.\
,1.\
,2013"
,
29 title = "Go
(game
) --- Wikipedia
{,} The Free Encyclopedia"
,
31 url
= "http
://en.wikipedia.org
/w
/index.php?
title=Go_
(game
)\
&oldid
=532253814"
,
32 cited
= "
15.\
,1.\
,2013"
35 @ONLINE
{ wiki
:go_handi
,
37 title = "Go handicaps
--- Wikipedia
{,} The Free Encyclopedia"
,
39 url
= "http
://en.wikipedia.org
/w
/index.php?
title=Go_handicaps
&oldid
=505279363"
,
40 cited
= "
16.\
,1.\
,2013"
43 @ONLINE
{ wiki
:go_rank
,
45 title = "Go ranks and ratings
--- Wikipedia
{,} The Free Encyclopedia"
,
47 url
= "http
://en.wikipedia.org
/w
/index.php?
title=Go_ranks_and_ratings
&oldid
=522963011"
,
48 cited
= "
18.\
,1.\
,2013"
51 @ARTICLE
{ieee
:mcts_overview
,
52 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.
},
53 journal={Computational Intelligence and AI in Games
, IEEE Transactions on
},
54 title={A Survey of Monte Carlo Tree Search Methods
},
60 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
);},
61 doi
={10.1109/TCIAIG
.2012.2186810},
63 url
= "http
://www.doc.ic.ac.uk
/~sgc
/papers
/browne_ieee12.pdf"
,
67 @ONLINE
{ wiki
:computer_go
,
69 title = "Computer Go
--- Wikipedia
{,} The Free Encyclopedia"
,
71 url
= "http
://en.wikipedia.org
/w
/index.php?
title=Computer_Go
&oldid
=530803356"
,
72 cited
= "
17.\
,1.\
,2013"
76 @ONLINE
{ senseis
:which_pro
,
77 author = "
{Sensei's Library
}"
,
78 title = "Which Pro Do You Most Play Like"
,
79 url
= "http
://senseis.xmp.net
/?WhichProDoYouMostPlayLike"
,
81 cited
= "
8.\
,4.\
,2013"
85 author = "
{Sensei's Library
}"
,
86 title = "
4-4 point low approach one
-space low pincer"
,
87 url
= "http
://senseis.xmp.net
/?
44PointLowApproachOneSpaceLowPincer"
,
89 cited
= "
29.\
,3.\
,2013"
92 @ONLINE
{ senseis
:empty_triangle
,
93 author = "
{Sensei's Library
}"
,
94 title = "The empty triangle is bad"
,
95 url
= "http
://senseis.xmp.net
/?TheEmptyTriangleIsBad"
,
97 cited
= "
18.\
,3.\
,2013"
100 @ONLINE
{ senseis
:styles
,
101 author = "
{Sensei's Library
}"
,
102 title = "Professional Players' Go Styles"
,
103 url
= "http
://senseis.xmp.net
/?ProfessionalPlayersGoStyles"
,
105 cited
= "
12.\
,3.\
,2013"
107 @ONLINE
{ senseis
:rank_cmp
,
108 author = "
{Sensei's Library
}"
,
109 title = "Rank
- worldwide comparison"
,
110 url
= "http
://senseis.xmp.net
/?RankWorldwideComparison"
,
112 cited
= "
16.\
,1.\
,2013"
114 @ONLINE
{ senseis
:proverbs
,
115 author = "
{Sensei's Library
}"
,
116 title = "Go Proverbs"
,
117 url
= "http
://senseis.xmp.net
/?GoProverbs"
,
119 cited
= "
18.\
,2.\
,2013"
122 @ONLINE
{ senseis
:tutorial
,
123 author = "
{Sensei's Library
}"
,
124 title = "Rules of Go
- introductory"
,
125 url
= "http
://senseis.xmp.net
/?BasicRulesOfGo"
,
127 cited
= "
15.\
,1.\
,2013"
129 @ONLINE
{ senseis
:scoring
,
130 author = "
{Sensei's Library
}"
,
132 url
= "http
://senseis.xmp.net
/?Scoring"
,
134 cited
= "
16.\
,1.\
,2013"
136 @ONLINE
{ senseis
:seki
,
137 author = "
{Sensei's Library
}"
,
139 url
= "http
://senseis.xmp.net
/?Seki"
,
141 cited
= "
16.\
,1.\
,2013"
143 @ONLINE
{ senseis
:dan
,
144 author = "
{Sensei's Library
}"
,
146 url
= "http
://senseis.xmp.net
/?Dan"
,
148 cited
= "
8.\
,2.\
,2013"
150 @ONLINE
{ senseis
:rules
,
151 author = "
{Sensei's Library
}"
,
152 title = "Rules of Go"
,
153 url
= "http
://senseis.xmp.net
/?RulesOfGo"
,
155 cited
= "
16.\
,1.\
,2013"
158 author = "
{Sensei's Library
}"
,
159 title = "Sensei's Library"
,
161 url
= "http
://senseis.xmp.net
/"
,
162 cited
= "
15.\
,1.\
,2013"
165 @ONLINE
{ computer_go
,
166 author = "Nick Wedd"
,
167 title = "Computer Go Info
--- Human
-Computer Go Challenges"
,
169 url
= "http
://www.computer
-go.info
/h
-c
/index.html"
,
170 cited
= "
8.\
,2.\
,2013"
174 author = "
{Go Census
}"
,
177 url
= "http
://web.archive.org
/web
/20021217041220/http
://www.fin.ne.jp
/~igo
/census.htm"
,
178 cited
= "
10.\
,2.\
,2013"
181 @conference
{ van_ees
,
182 author = "Theo van Ees"
,
183 title = "The Slow Way West"
,
184 booktitle = "Third International Conference on Baduk"
,
185 address = "Myong
-Ji University
, Yongin City
, Korea"
,
188 note = "Available as a part of the
{GoGoD
} {E
}ncyclopaedia and
{D
}atabase
, {H
}istory"
,
189 url
= "http
://www.gogod.co.uk
/"
,
190 cited
= "
8.\
,2.\
,2013"
194 author = "Corinna Cortes and
196 title = "Support
-Vector Networks"
,
197 journal = "Machine Learning"
,
202 doi
= "
10.1007/BF00994018"
,
209 journal={Machine Learning
},
212 doi
={10.1007/BF00117832
},
213 title={Stacked regressions
},
214 url
={http
://dx.doi.org
/10.1007/BF00117832
},
215 publisher={Kluwer Academic Publishers
},
216 keywords={Stacking
; Non
-negativity
; Trees
; Subset regression
; Combinations
},
217 author={Breiman
, Leo
},
223 author = {David H. Wolpert
},
224 title = {Stacked Generalization
},
225 journal = {Neural Networks
},
229 url
= "http
://www.machine
-learning.martinsewell.com
/ensembles
/stacking
/Wolpert1992.pdf"
232 @inproceedings
{boosting
,
234 isbn
={978-3-540-59119-1},
235 booktitle={Computational Learning Theory
},
237 series={Lecture Notes in Computer Science
},
238 doi
={10.1007/3-540-59119-2_166
},
239 title={A desicion
-theoretic generalization of on
-line learning and an application to boosting
},
240 url
={http
://dx.doi.org
/10.1007/3-540-59119-2_166
},
241 publisher={Springer Berlin Heidelberg
},
242 author={Freund
, Yoav and Schapire
, RobertE.
},
248 title={A genetic algorithm tutorial
},
249 author={Whitley
, D.
},
250 journal={Statistics and computing
},
259 author = "Breiman
, Leo and Friedman
, J. H. and Olshen R. A. and Stone
, C. J."
,
261 title= "Classification and regression trees"
,
262 address = "Monterey
, CA"
,
263 publisher = "Wadsworth \
& Brooks
/Cole Advanced Books \
& Software"
,
264 isbn
= "
978-0-412-04841-8"
267 @article
{breimanbag96
,
268 author = {Breiman
, Leo
},
269 title = {Bagging predictors
},
270 journal = {Mach. Learn.
},
271 issue_date
= {Aug.
1996},
279 url
= {http
://dx.doi.org
/10.1023/A
:1018054314350},
280 doi
= {10.1023/A
:1018054314350},
282 publisher = {Kluwer Academic Publishers
},
283 address = {Hingham
, MA
, USA
},
284 keywords = {aggregation
, averaging
, bootstrap
, combining
},
288 author = "Breiman
, Leo"
,
289 title = "Random Forests"
,
290 journal = "Machine Learning"
,
291 issue_date
= "October
1 2001"
,
299 doi
= "
10.1023/A
:1010933404324"
,
301 publisher = "Kluwer Academic Publishers"
,
302 address = "Hingham
, MA
, USA"
,
303 keywords = "classification
, ensemble
, regression"
,
307 author = "Smola
, Alex J. and Sch
{\"
{o
}}lkopf
, Bernhard"
,
308 title = "A tutorial on support vector regression"
,
309 journal = "Statistics and Computing"
,
310 issue_date
= "August
2004"
,
318 url
= "http
://www.cmlab.csie.ntu.edu.tw
/~cyy
/learning
/papers
/SVR_Tutorial.pdf"
,
319 doi
= "
10.1023/B
:STCO
.0000035301.49549.88"
,
321 publisher = "Kluwer Academic Publishers"
,
322 address = "Hingham
, MA
, USA"
,
323 keywords = "machine learning
, regression estimation
, support vector machines"
327 author = "Hall
, T. Mark and Fairbairn
, John"
,
328 year = "winter
2011"
,
329 title = "
{G
}ames of
{G
}o on
{D
}isk
--- {GoGoD
} {E
}ncyclopaedia and
{D
}atabase"
,
330 url
= "http
://www.gogod.co.uk
/"
,
334 @ONLINE
{GoGoD
:styles
,
335 author = "Fairbairn
, John"
,
336 year = "winter
2011"
,
337 title = "
{G
}ames of
{G
}o on
{D
}isk
--- {GoGoD
} {E
}ncyclopaedia and
{D
}atabase
, {G
}o players' styles"
,
338 url
= "http
://www.gogod.co.uk
/"
,
342 @ONLINE
{GoGoD
:dosaku
,
343 author = "Hall
, T. Mark and Fairbairn
, John"
,
344 year = "winter
2011"
,
345 title = "
{G
}ames of
{G
}o on
{D
}isk
--- {GoGoD
} {E
}ncyclopaedia and
{D
}atabase
, {A
}rticles on
{F
}amous
{P
}layers
-- Honinbo Dosaku"
,
346 url
= "http
://www.gogod.co.uk
/"
,
351 author = "Roman Rosipal and Nicole Krämer"
,
352 title = "Overview and recent advances in partial least squares"
,
353 booktitle = "in ‘Subspace
, Latent Structure and Feature Selection Techniques’
, Lecture Notes in Computer Science"
,
354 url
= "http
://citeseerx.ist.psu.edu
/viewdoc
/summary?doi
=10.1.1.85.7735"
,
355 cited
= "
2013\
.02\
.07"
,
358 publisher = "Springer"
,
363 abstract = "Provides a comprehensive foundation of neural networks
, recognizing the
364 multidisciplinary nature of the subject
, supported with examples
, computer
-
365 oriented experiments
, end of
chapter problems
, and a bibliography.
{DLC
}: Neural
366 networks
(Computer science
)."
,
367 author = "Haykin
, Simon"
,
370 howpublished = "Hardcover"
,
374 publisher = "Prentice Hall"
,
375 title = "Neural Networks
: A Comprehensive Foundation
(2nd Edition
)"
,
376 url
= "http
://www.worldcat.org
/isbn
/0132733501"
,
383 author = "Daniel Bump and Gunnar Farneback and Arend Bayer and others"
,
385 title = "
{GNU
} {G
}o"
,
386 url
= "http
://www.gnu.org
/software
/gnugo
/"
,
388 timestamp
= "
2012.03.27"
392 author = "
{B
}audi
{\v
{s
}}, {P
}etr and others"
,
394 title = "Pachi
--- {S
}imple
{G
}o
/{B
}aduk
/{W
}eiqi
{B
}ot"
,
395 url
= "http
://repo.or.cz
/w
/pachi.git"
,
400 author = "Ales Cieply and others"
,
402 title = "
{EGF
} ratings system
-- {S
}ystem description"
,
403 url
= "http
://www.europeangodatabase.eu
/EGD
/EGF_rating_system.php"
,
405 timestamp
= "
2011.03.10"
409 author = "Ales Cieply and others"
,
411 title = "
{G
}o
{R
}atings of
{P
}rofessional and
{S
}trong
{A
}mateur
{P
}layers"
,
412 url
= "http
://www.goweb.cz
/progor"
,
416 @ARTICLE
{CoverHart1967
,
417 author = "Thomas M. Cover and Peter E. Hart"
,
418 title = "Nearest neighbor pattern classification"
,
419 journal = "IEEE Transactions on Information Theory"
,
423 doi
="
10.1109/TIT
.1967.1053964"
,
426 timestamp
= "
2010.03.10"
429 @INPROCEEDINGS
{PatElo
,
430 author = "
{C
}oulom
, {R
}{\'e
}mi"
,
431 title = "
{C
}omputing
{E
}lo
{R
}atings of
{M
}ove
{P
}atterns in the
{G
}ame of
{G
}o"
,
432 booktitle = "
{C
}omputer
{G
}ames
{W
}orkshop "
,
434 editor = "van den
{H
}erik
, {H
}.
{J
}aap and
{M
}ark
{W
}inands and
{J
}os
{U
}iterwijk and
{M
}aarten
{S
}chadd"
,
435 address = "
{A
}msterdam
{P
}ays
-{B
}as "
,
436 abstract = "
{M
}ove patterns are an essential method to incorporate domain knowledge
437 into
{G
}o
-playing programs.
{T
}his paper presents a new
{B
}ayesian
438 technique for supervised learning of such patterns from game records
,
439 based on a generalization of
{E
}lo ratings.
{E
}ach sample move in
440 the training data is considered as a victory of a team of pattern
441 features.
{E
}lo ratings of individual pattern features are computed
442 from these victories
, and can be used in previously unseen positions
443 to compute a probability distribution over legal moves.
{I
}n this
444 approach
, several pattern features may be combined
, without an exponential
445 cost in the
number of features.
{D
}espite a very small
number of
446 training games
(652), this algorithm outperforms most previous pattern
-learning
447 algorithms
, both in terms of mean log
-evidence
(−
2.69), and prediction
448 rate
(34.9%). {A} 19x19 {M}onte-{C}arlo program improved with these
449 patterns reached the level of the strongest classical programs."
,
450 affiliation
= "
{SEQUEL
} - {INRIA
} {F
}uturs
- {INRIA
} - {CNRS
} : {UMR
}8022 - {CNRS
}
451 : {UMR
}8146 - {U
}niversit
{\'e
} des
{S
}ciences et
{T
}echnologies de
452 {L
}ille
- {L
}ille
{I
} - {U
}niversit
{\'e
} {C
}harles de
{G
}aulle
-
453 {L
}ille
{III
} - {E
}cole
{C
}entrale de
{L
}ille "
,
454 audience
= "non sp
{\'e
}cifi
{\'e
}e "
,
455 url
= "http
://hal.inria.fr
/inria
-00149859/en
/"
459 title = "Pattern classification and scene analysis"
,
460 publisher = "A Wiley
-Interscience Publication
, New York
: Wiley"
,
462 author = "
{Duda
}, R.~O. and
{Hart
}, P.~E."
466 title = "The rating of chessplayers
, past and present"
,
467 publisher = "Arco
, New York"
,
469 author = "Arpad E. Elo"
,
475 author = "
{Gunnar Farneb\"ack
}"
,
477 title = "GTP
--- {G
}o
{T
}ext
{P
}rotocol
(version
1)"
,
478 url
= "http
://www.lysator.liu.se
/~gunnar
/gtp
/"
,
483 author = "Ulrich G
{\"o
}rtz"
,
485 title = "Kombilo
--- a
{G
}o database program
(version
0.7)"
,
486 url
= "http
://www.u
-go.net
/kombilo
/"
,
491 author = "Jean
-loup Gailly and Bill Hosken and others"
,
493 title = "
{T
}he
{G
}o
{T
}eaching
{L
}adder"
,
494 url
= "http
://gtl.xmp.net
/"
,
498 @INPROCEEDINGS
{GellySilver2008
,
499 author = "Gelly
, Sylvain and Silver
, David"
,
500 title = "Achieving master level play in
9x9 computer go"
,
501 booktitle = "AAAI'
08: Proceedings of the
23rd national conference on Artificial intelligence"
,
503 pages = "
1537--1540"
,
504 publisher = "AAAI Press"
,
505 abstract = "The UCT algorithm uses Monte
-Carlo simulation to estimate the value
506 of states in a search tree from the current state. However
, the first
507 time a state is encountered
, UCT has no knowledge
, and is unable
508 to generalise from previous experience. We describe two extensions
509 that
address these weaknesses. Our first algorithm
, heuristic UCT
,
510 incorporates prior knowledge in the form of a value function. The
511 value function can be learned offline
, using a linear combination
512 of a million binary features
, with weights trained by temporal
-difference
513 learning. Our second algorithm
, UCT
-RAVE
, forms a rapid online generalisation
514 based on the value of moves. We applied our algorithms to the domain
515 of
9 ×
9 Computer Go
, using the program MoGo. Using both heuristic
516 UCT and RAVE
, MoGo became the first program to achieve human master
517 level in competitive play."
,
518 isbn
= "
978-1-57735-368-3"
,
519 location
= "Chicago
, Illinois"
522 @INPROCEEDINGS
{CompAwar
,
523 author = "Ghoneim
, A.S. and Essam
, D.L. and Abbass
, H.A."
,
524 title = "Competency awareness in strategic decision making"
,
525 booktitle = "Cognitive Methods in Situation Awareness and Decision Support
(CogSIMA
),
526 2011 IEEE First International Multi
-Disciplinary Conference on"
,
530 doi
= "
10.1109/COGSIMA
.2011.5753426"
,
531 keywords = "competency awareness
;data mining
;human
-played GO games
;mental picture
;player
532 skill
;psychological tests
;real
-time monitoring
;reasoning
;skill
-assessment
533 tests
;strategic decision making
;time
-series analysis
;cognition
;computer
534 games
;data mining
;decision making
;psychology
;time
series;"
,
536 timestamp
= "
2012.03.27"
539 @ONLINE
{GoDiscThread
,
540 author = "GoDiscussions"
,
541 title = "
{P
}ro
{S
}tyles
(discussion thread
)"
,
542 url
= "http
://www.godiscussions.com
/forum
/showthread.php?t
=10980"
,
547 author = "Frank de Groot"
,
549 title = "
{M
}oyo
{G
}o
{S
}tudio"
,
550 url
= "http
://www.moyogo.com
/"
,
556 title = "Neural Networks
: A Comprehensive Foundation"
,
557 publisher = "Macmillan"
,
559 author = "Haykin
, S."
,
560 address = "New York"
,
561 citeulike
-article
-id
= "
2429223"
,
562 keywords = "neural\_nets"
,
564 posted
-at
= "
2008-02-26 12:33:02"
,
566 timestamp
= "
2010.06.13"
570 author = "Arno Hollosi"
,
572 title = "
{SGF
} {F
}ile
{F
}ormat"
,
573 url
= "http
://www.red
-bean.com
/sgf
/"
,
577 @MISC
{SociomapsPersonal
,
578 author = "
{{H
}\"
{o
}schl
, {C
}yril
}"
,
579 howpublished = "personal communication"
,
584 title = "Visualization of Sociomaps"
,
585 publisher = "Bachelor Thesis
, MFF UK"
,
587 author = "
{{H
}\"
{o
}schl
, {C
}yril
}"
,
592 title = "Principal Component Analysis"
,
593 publisher = "Springer"
,
596 author = "I.T. Jolliffe"
,
600 author = "Alexander Dinerchtein"
,
602 title = "What is your playing style?"
,
603 url
= "http
://style.baduk.com"
,
605 cited
= "
8.\
,4.\
,2013"
609 author = "Jan van der Steen"
,
612 url
= "http
://www.gobase.org"
,
616 author = "Vasily Yevstygnyeyev"
,
619 url
= "http
://www.gokifu.com"
,
622 @INPROCEEDINGS
{crossval
,
623 author = {Ron Kohavi
},
624 title = {A Study of Cross
-Validation and Bootstrap for Accuracy Estimation and Model Selection
},
627 pages = {1137--1143},
628 publisher = {Morgan Kaufmann
}
633 author = "William Shubert"
,
634 title = "
{KGS
} --- Kiseido Go Server"
,
635 url
= "http
://www.gokgs.com
/"
,
641 author = "William Shubert"
,
642 title = "
{KGS
} Archives
--- Kiseido Go Server"
,
643 url
= "http
://www.gokgs.com
/archives.jsp"
,
647 @ONLINE
{KGSAnalytics
,
650 title = "
{KGS
} {A
}nalytics"
,
651 url
= "http
://kgs.gosquares.net
/"
,
656 author = "
{K
}eselj
, {V
}lado and
{L
}in
, {Y
}ung
-chung and others"
,
658 title = "
{AI
::NaiveBayes1
} {CPAN
} {M
}odule"
,
659 url
= "http
://search.cpan.org
/~vlado
/AI
-NaiveBayes1
-2.006/NaiveBayes1.pm"
,
665 title = "python
-kohonen
, {A
} library of
{Kohonen
} maps"
,
666 howpublished = "Released under
{MIT
} License"
,
667 url
= "http
://code.google.com
/p
/python
-kohonen
/"
,
669 timestamp
= "
2010.03.10"
674 author = "
{Celery Project
}"
,
675 title = "Celery Project"
,
676 url
= "http
://www.celeryproject.org"
,
681 author = "
{Google and community
}"
,
683 url
= "http
://www.angularjs.org"
,
688 author = "
{M
}oud
{\v
{r
}\'
{i
}}k
, {J
}osef and
{B
}audi
{\v
{s
}}, {P
}etr"
,
690 title = "
{GoStyle
} --- {D
}etermine playing style in the game of
{G
}o"
,
691 url
= "http
://repo.or.cz
/w
/gostyle.git"
,
695 @article
{GoStyleArxiv
,
696 author = "Petr Baudi
{\v
{s
}} and Josef Moud
{\v
{r
}\'
{i
}}k"
,
697 title = "On Move Pattern Trends in a Large Go Games Corpus"
,
698 journal = "Arxiv
, CoRR"
,
701 url
= "http
://arxiv.org
/abs
/1209.5251"
,
702 bibsource
= "DBLP
, http
://dblp.uni
-trier.de"
704 volume = "abs
/1209.5251"
,
707 author = "
{M
}oud
{\v
{r
}\'
{i
}}k
, {J
}osef and
{B
}audi
{\v
{s
}}, {P
}etr"
,
709 title = "
{GoStyle
} --- {D
}etermine playing style in the game of
{G
}o"
,
710 url
= "http
://gostyle.j2m.cz
/"
,
714 @ONLINE
{jm_orange_wrapp
,
715 author = "Josef
{M
}oud
{\v
{r
}\'
{i
}}k"
,
717 title = "Orange Hacks"
,
718 url
= "http
://www.j2m.cz
/~jm
/orange_hacks
/"
,
723 author = {Tomaž Curk and Janez Demšar and Qikai Xu and Gregor Leban and
724 Uroš Petrovič and Ivan Bratko and Gad Shaulsky and Blaž Zupan
},
725 title = {Microarray data mining with visual programming
},
726 journal = {Bioinformatics
},
734 url
= {http
://bioinformatics.oxfordjournals.org
/content
/21/3/396.full.pdf
},
735 publisher = {Oxford University Press
},
736 address = {Oxford
, UK
},
739 @TECHREPORT
{Nissen2003
,
740 author = "S. Nissen"
,
741 title = "Implementation of a Fast Artificial Neural Network Library
(fann
)"
,
742 institution = "Department of Computer Science University of Copenhagen
(DIKU
)"
,
744 note = "http
://fann.sf.net"
,
746 timestamp
= "
2010.03.10"
750 author = "
{Python Software Foundation
}"
,
753 title = "
{P
}ython
2.7"
,
754 url
= "http
://www.python.org
/dev
/peps
/pep
-0373/"
,
756 timestamp
= "
2013.01.28"
760 author = "
{Python Software Foundation
}"
,
763 title = "
{P
}ython
2.5"
,
764 url
= "http
://www.python.org
/dev
/peps
/pep
-0356/"
,
766 timestamp
= "
2009.04.29"
769 @ONLINE
{SociomapSite
,
770 author = "
{QED GROUP
}"
,
772 title = "
{S
}ociomapping
{S
}uite"
,
773 url
= "http
://www.sociomap.com
/"
,
778 author = "
{QED GROUP
}"
,
780 title = "
{T
}eam
{P
}rofile
{A
}nalyzer"
,
781 url
= "http
://www.teamprofileanalyzer.com
/"
,
785 @INPROCEEDINGS
{Riedmiller1993
,
786 author = "Martin Riedmiller and Heinrich Braun"
,
787 title = "
{A Direct Adaptive Method for Faster Backpropagation Learning
: The
789 booktitle = "IEEE International Conference on Neural Networks"
,
793 timestamp
= "
2010.03.07"
797 title = "FreeViz
--- An intelligent multivariate visualization approach to explorative analysis of biomedical data"
,
798 journal = "Journal of Biomedical Informatics"
,
803 note = "Intelligent Data Analysis in Biomedicine"
,
805 doi
= "
10.1016/j.jbi
.2007.03.010"
,
806 url
= "http
://www.sciencedirect.com
/science
/article
/pii
/S1532046407000275"
,
807 author = "Janez Dem
{\v
{s
}}ar and Gregor Leban and Bla
{\v
{z
}} Zupan"
812 author = "J. L. Rodgers and W. A. Nicewander"
,
813 title = "
{Thirteen ways to look at the correlation coefficient
}"
,
814 journal = "The American Statistician"
,
823 @ONLINE
{RankComparison
,
824 author = "
{Sensei's Library
}"
,
825 year = "
2012, March"
,
826 title = "Rank
--- worldwide comparison"
,
827 url
= "http
://senseis.xmp.net
/?RankWorldwideComparison"
,
831 @INPROCEEDINGS
{SpatPat
,
832 author = "Stern
, David and Herbrich
, Ralf and Graepel
, Thore"
,
833 title = "Bayesian pattern ranking for move prediction in the game of Go"
,
834 booktitle = "ICML '
06: Proceedings of the
23rd international conference on Machine
838 address = "New York
, NY
, USA"
,
840 doi
= "http
://doi.acm.org
/10.1145/1143844.1143954"
,
841 isbn
= "
1-59593-383-2"
,
842 location
= "Pittsburgh
, Pennsylvania"
845 @INPROCEEDINGS
{TeamProf
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846 author = "
{S
}rb
, {T
}omas and
{S
}\'
{y
}kora
, Jiri and
{B
}ahbouh
, {R
}advan and
{H
}{\"o
}schl
, {C
}yril"
,
847 title = "Using Visualisation of Group Structure and Dynamics in Team Development"
,
848 booktitle = "
50th Conference of the International Military Training Association"
,
850 location
= "Amsterdam"
854 author = "Zito Tiziano and Wilbert Niko and Wiskott Laurenz and Berkes Pietro"
,
855 title = "Modular toolkit for
{D
}ata
{P
}rocessing
({MDP
}): a
{P
}ython data processing framework"
,
856 journal = "Frontiers in Neuroinformatics"
,
859 abstract = "Modular toolkit for Data Processing
(MDP
) is a data processing framework
860 written in Python. From the user
&#
39;s perspective
, MDP is a collection
861 of supervised and unsupervised learning algorithms and other data
862 processing units that can be combined into data processing sequences
863 and more complex feed
-forward network architectures. Computations
864 are performed efficiently in terms of speed and memory requirements.
865 From the scientific developer
&#
39;s perspective
, MDP is a modular
866 framework
, which can easily be expanded. The implementation of new
867 algorithms is easy and intuitive. The new implemented units are then
868 automatically integrated with the rest of the library. MDP has been
869 written in the context of theoretical research in neuroscience
, but
870 it has been designed to be helpful in any context where trainable
871 data processing algorithms are used. Its simplicity on the user
&#
39;s
872 side
, the variety of readily available algorithms
, and the reusability
873 of the implemented units make it also a useful educational tool."
,
874 doi
= "
10.3389/neuro
.11/008.2008"
,
875 issn
= "ISSN
1662-5196"
,
877 timestamp
= "
2010.03.05"
880 @comment
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882 @comment
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884 @comment
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886 @comment
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