新規登録 | ログイン | FAQ      [?] 
Recent | Unread | Search | Authors | Tags | Export

JoSeK library [40 articles]

最近 JoSeK さんのライブラリ .
  • Information Theory, Inference & Learning Algorithms
    (15 June 2002)
    by David JC Mackay
    posted to no-tag by JoSeK on 2005-11-01 16:57:35 as ** along with 40 people and 5 groups luispedro matjes delip lop ekatsyrk quianominorleo markusd A_Olympia ansobol yaroslavvb ingo jrw rpadams gyuli dariusb simonjudge leidner bayesian BarrosH wnpx filippone marcosmuller danielaugot zielaj daveh spirit_of_numenor sbarthelme anon_pl dwf petrijooste wowbagger nrubens chrisc rsantana fishtank rwilliamson poluxmoon robertoalamino brianmc robotact Philosophy_of_Information Blog_and_Wiki_Research AssistiveTechnology inference-group ComplexAdaptiveSystems
  • Understanding Probabilistic Classifiers
    (2001), pp. 179-191.
    by Ashutosh Garg, Dan Roth
    posted to no-tag by JoSeK on 2005-10-31 16:01:28 as ** along with 1 person yaroslavvb
  • Induction of Selective Bayesian Classifiers
    pp. 399-406.
    by Pat Langley, Stephanie Sage
    posted to bayesian by JoSeK on 2005-10-31 15:51:58 as ** along with 1 person srp33
  • An Analysis of Bayesian Classifiers
    (1992), pp. 223-228.
    by Pat Langley, Wayne Iba, Kevin Thompson
    posted to bayesian by JoSeK on 2005-10-31 15:45:56 as **
  • Estimating Continuous Distributions in Bayesian Classifiers
    pp. 338-345.
    by George H John, Pat Langley
    posted to bayesian naive-bayes statistics by JoSeK on 2005-10-31 15:29:29 as *** along with 6 people and 2 groups garyfeng cdnewbee xiaoyan2006 rsantana azazello meisi ReadingLab VT_DLRL
  • Bayesian Learning of Probabilistic Language Models
    (1994)
    by Andreas Stolcke
    posted to bayesian by JoSeK on 2005-10-30 18:22:01 as ** along with 4 people parmentierf ldietz ChaitanyaSai joelh
  • Optimal Information-Processing And Bayes' Theorem
    No. m8803. (1988)
    by A Zellner
    posted to no-tag by JoSeK on 2005-10-30 18:18:05 as ** along with 1 person yaroslavvb
  • The Optimality of Naive Bayes.
    (2004)
    by Harry Zhang
    edited by Valerie Barr, Zdravko Markov
    posted to bayesian naive-bayes by JoSeK on 2005-10-30 18:16:22 as **** along with 2 people yaroslavvb wnpx
  • An introduction to variable and feature selection
    J. Mach. Learn. Res., Vol. 3 (2003), pp. 1157-1182.
    by Isabelle Guyon, Andr&\#233; Elisseeff
    posted to feature-selection by JoSeK on 2005-10-30 18:15:58 as ** along with 15 people AbnerCYH amargoli yaroslavvb bigga sona davidr gyuli buescher76 mukundn student_t chiahuey gkvas Mohan-S dimatura gabriprat
  • Pattern Classification (2nd Edition)
    (21 November 2000)
    by Richard O Duda, Peter E Hart, David G Stork
    posted to bayesian statistics by JoSeK on 2005-10-30 18:13:06 as *** along with 32 people and 10 groups tgyork matjes napvasconcelos haiyeong ecome yaroslavvb sidr pdlug thsant mhaller gyuli carueda xtizon leidner 1puumu jekky balajis buescher76 balicea sdvillal pbellec ctacmo jclau bigbossman brunomelo ddos mattjb zeppe dimatura theus abellogin singhsh CMU-HCII Blog_and_Wiki_Research automatic_summarization video_retrieval ASR AI ComplexAdaptiveSystems RiSE DSTO-CAS Medical Image Analysis and Visualization @ OSU
  • Bayesian Ensemble Learning for Nonlinear Factor Analysis
    by Harri Valpola
    posted to bayesian by JoSeK on 2005-10-28 15:28:18 as **
  • Improving Naive Bayes using Class-Conditional ICA
    by Marco Bressan, Jordi Vitrià
    posted to ica independence-assumption naive-bayes by JoSeK on 2005-10-21 16:35:05 as *****
  • A Tutorial on Principal Component Analysis
    by Lindsay I Smith
    posted to pca by JoSeK on 2005-10-17 17:22:19 as **
  • Independent Component Analysis: A Tutorial
    Neural Networks, Vol. 13, No. 4-5. (2000), pp. 411-430.
    by Aapo Hyvärinen, Erkki Oja
    posted to ica by JoSeK on 2005-10-17 17:14:11 as **
  • Bayes’ Theorem and the Philosophy of Science
    by Curtis Brown
    posted to no-tag by JoSeK on 2005-10-17 12:01:13 as **
  • An analysis of data characteristics that affect naive Bayes performance
    (2001)
    by Irina Rish, Joseph Hellerstein, Jayram Thathachar
    posted to no-tag by JoSeK on 2005-10-17 10:29:12 as **
  • Citations: Semi-naive bayesian classifier - Kononenko (ResearchIndex)
    posted to no-tag by JoSeK on 2005-10-17 10:27:39 as ** along with 1 person wowbagger
  • An empirical study of the naive Bayes classifier
    by Irina Rish
    posted to bayesian naive-bayes by JoSeK on 2005-10-17 10:23:25 as **
  • Feature selection for unbalanced class distribution and naive bayes
    (1999)
    by D Mladenic, M Grobelnik
    posted to bayesian feature-selection naive-bayes by JoSeK on 2005-10-17 10:06:39 as ** along with 1 person eacosta
  • Not So Naive Bayes: Aggregating One-Dependence Estimators
    Machine Learning, Vol. 58, No. 1. (January 2005), pp. 5-24.
    by Webb, Boughton, Wang Zhihai
    posted to bayesian naive-bayes by JoSeK on 2005-10-17 06:32:04 as **
  • Learning Bayesian network classifiers by maximizing conditional likelihood
    (2004), pp. 361-368.
    by Daniel Grossman, Pedro Domingos
    posted to bayesian bayesian-networks by JoSeK on 2005-10-17 06:29:07 as ** along with 2 people yaroslavvb davidr
  • Why isn't everyone a Bayesian? With discussion and a reply by the author
    The American Statistician, Vol. 40, No. 1. (???? 1986), pp. 1-11.
    by B Efron
    posted to no-tag by JoSeK on 2005-10-17 06:28:25 as ** along with 1 person yaroslavvb
  • Bayesian analysis: a look at today and thoughts of tomorrow
    Journal of the American Statistical Association (2000)
    by Berger
    posted to bayesian by JoSeK on 2005-10-17 06:28:08 as ** along with 2 people Pragmatist yaroslavvb
  • Why I am not a Bayesian
    Theory and evidence (1981), pp. 63-93.
    by Clark Glymour
    posted to no-tag by JoSeK on 2005-10-17 06:27:43 as ** along with 3 people and 1 group Pragmatist yaroslavvb mhay kdl
  • Why Glymour IS a Bayesian
    Testing Scientific Theories, Vol. 10 (1983)
    by R Rosenkrantz
    edited by J Earman
    posted to no-tag by JoSeK on 2005-10-17 06:27:29 as ** along with 1 person yaroslavvb
  • Bayesian Conditionalisation and the Principle of Minimum Information
    British Journal of Philosophy of Science, Vol. 31 (1980), pp. 131-144.
    by P Williams
    posted to bayesian by JoSeK on 2005-10-17 06:26:51 as ** along with 1 person yaroslavvb
  • On the learnability of discrete distributions
    (1994), pp. 273-282.
    by Michael Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert E Schapire, Linda Sellie
    posted to no-tag by JoSeK on 2005-10-17 06:26:12 as ** along with 2 people yaroslavvb geomblog
  • A tutorial on learning with Bayesian networks
    (1999), pp. 301-354.
    by David Heckerman
    posted to bayesian bayesian-networks by JoSeK on 2005-10-17 06:19:54 as ** along with 9 people and 1 group slygent yaroslavvb mjt abhik garyfeng grimm balicea wnpx rsantana ReadingLab
  • The Ubiquitous Laplacian Assumption: Reply to Lee and Wagenmakers (2005)
    Psychological Review, Vol. 112, No. 3. (July 2005), pp. 669-674.
    by David Trafimow
    posted to bayesian by JoSeK on 2005-10-17 06:18:00 as ** along with 1 person and 1 group stefanherzog ACS-Basel
  • Bayes and Tukey Meet at the Center Point
    Lecture Notes in Computer Science, Vol. 3120 (January 2004), pp. 549-563.
    by Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
    posted to bayesian by JoSeK on 2005-10-17 06:15:25 as ** along with 1 person yaroslavvb
  • A tutorial on learning with bayesian networks
    (# 1995)
    by D Heckerman
    posted to bayesian bayesian-networks by JoSeK on 2005-10-17 06:14:24 as ** along with 38 people and 8 groups frohike tessaverhoef korakot A_Olympia neilernst jrw waffle168 davidbroadhurst biplabbose tsprau2 garyfeng aufrank grimm okarsligil wanmin rkdeexit bayesian mystiphiliac kresala stvijayanand lyongu eustatic tystl wnpx ddahlem pverstra proportional llamerada torch eman_fcis cerkut tvdbulck jaspervoskuilen ajylha eacebo helsley pprett dcastro Philosophy_of_Information Blog_and_Wiki_Research mgh-lcs ReadingLab ur-cls Bioinformatics macc contact-id
  • Scaling Up the Accuracy of Naive-Bayes Classifiers: a Decision-Tree Hybrid
    (1996), pp. 202-207.
    by Ron Kohavi
    posted to bayesian naivebayes by JoSeK on 2005-10-16 21:39:18 as **
  • Why Discretization Works for Näive Bayesian Classifiers
    (2000), pp. 399-406.
    by Chun N Hsu, Hung J Huang, Tzu T Wong
    posted to bayesian naivebayes by JoSeK on 2005-10-16 21:38:24 as ** along with 1 person carter
  • Geometric Implications of the Naive Bayes Assumption
    (1996), pp. 414-419.
    by Mark A Peot
    posted to bayesian independence-assumption ir naivebayes by JoSeK on 2005-10-16 21:37:46 as *** along with 1 person davidr
  • Lazy Bayesian rules: a lazy semi-naive Bayesian learning technique competitive to boosting decision trees
    (1999), pp. 493-502.
    by Zijian Zheng, Geoffrey I Webb, Kai M Ting
    posted to bayesian decision-tree by JoSeK on 2005-10-16 21:37:01 as ** along with 1 person eweaver
  • Improving Multi-class Text Classification with Naive Bayes
    (2001)
    by Jason DM Rennie
    posted to bayesian naivebayes text-classification by JoSeK on 2005-10-16 21:36:13 as **
  • Naive (Bayes) at forty: The independence assumption in information retrieval.
    No. 1398. (1998), pp. 4-15.
    by David D Lewis
    edited by Claire Nédellec, Céline Rouveirol
    posted to bayesian independence-assumption ir naivebayes by JoSeK on 2005-10-16 21:35:16 as ** along with 2 people jjamor craigtalbert
  • Improving simple Bayes
    (1997)
    by R Kohavi, B Becker, D Sommerfield
    posted to bayesian naivebayes by JoSeK on 2005-10-16 21:33:55 as **
  • Independent Component Analysis, a survey of some algebraic methods
    (1996)
    by J Cardoso, P Comon
    posted to ica statistics by JoSeK on 2005-10-16 21:29:47 as ** along with 1 person and 1 group garyfeng ReadingLab
  • Independent Factor Analysis
    Neural Computation, Vol. 11, No. 4. (1999), pp. 803-851.
    by Hagai Attias
    posted to ica statistics by JoSeK on 2005-10-16 21:28:09 as ** along with 1 person and 1 group garyfeng ReadingLab
    • 注: このページを引用する時は次のURLでどうぞ: http://www.citeulike.org/user/JoSeK

    RIS BibTeX RSS
    CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.