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markusd's machine-learning [131 articles]

当前文献位于 markusd's 文献库 标签分类为 machine-learning. You can also see everyone's machine-learning.
  • Maximum Likelihood from Incomplete Data via the EM Algorithm
    by AP Dempster, NM Laird, DB Rubin
    posted to machine-learning em by markusd on 2008-09-29 18:47:12 as ** along with 49 people and 8 groups czeller zeppe Maderlock abrentnall cfelipesp jake ingo anoopsarkar gangli rpadams wkw hoangmtbk dragonrez Freyr lukec dheena songhaoyuan amirsaemi j3xucite ecome walkking nandan marrtin tvdbulck MichaelDonoser MikeDoni rwilliamson calamar qq987 ichbins81 petrposik ggorjan shiquanwang lcigler ciga kvorg ifejobi DavidSchulz ykuoka singhsh trop_wizz eddymier schulz stkhu eegilbert weymouth wenhan qwermish iansimon Statistics_and_Social_Science tulip LTN Computer_Graphics Computational_Information_Geometry csb_journal_club_public Medical Image Analysis and Visualization @ OSU MBLAB
  • Learning on the Test Data: Leveraging Unseen Features
    ICML (2003)
    by B Taskar, MF Wong, D Koller
    posted to machine-learning by markusd on 2008-09-28 19:22:08 as ** along with 1 person casutton
  • Ensemble Methods in Machine Learning
    Multiple Classifier Systems (2000), pp. 1-15.
    by Thomas Dietterich
    posted to machine-learning by markusd on 2008-09-28 19:20:11 as ** along with 1 person ldietz
  • Simulating normalizing constants: from importance sampling to bridge sampling to path sampling
    by Andrew Gelman, Xiao-Li Meng
    posted to machine-learning approximations by markusd on 2008-09-28 19:19:00 as ** along with 1 person casutton
  • A Maximum Expected Utility Framework for Binary Sequence Labeling
    (June 2007), pp. 736-743.
    by Martin Jansche
    posted to machine-learning by markusd on 2008-09-22 16:00:00 as ** along with 1 person student_t
  • Pipeline Iteration
    (June 2007), pp. 952-959.
    by Kristy Hollingshead, Brian Roark
    posted to nlp machine-learning by markusd on 2008-09-22 15:57:55 as ** along with 1 person student_t
  • Two-view feature generation model for semi-supervised learning
    (2007), pp. 25-32.
    by Rie K Ando, Tong Zhang
    posted to machine-learning by markusd on 2008-09-22 15:57:43 as ** along with 1 person davidr
  • A Bayesian Model for Discovering Typological Implications
    (June 2007), pp. 65-72.
    by Hal D Iii, Lyle Campbell
    posted to machine-learning bayes by markusd on 2008-09-22 15:57:31 as ** along with 1 person bhaddow
  • Graphical Models in a Nutshell
    (2007)
    by Daphne Koller, Nir Friedman, Lise Getoor, Ben Taskar
    posted to machine-learning graphical-models by markusd on 2008-09-22 15:50:25 as ** along with 2 people pdlug ldietz
  • Particle methods for maximum likelihood estimation in latent variable models
    Statistics and Computing, Vol. 18, No. 1. (13 March 2008), pp. 47-57.
    by Adam Johansen, Arnaud Doucet, Manuel Davy
    posted to machine-learning by markusd on 2008-09-17 18:54:00 as ** along with 3 people nojhan jrblevin casutton
  • Objections to Bayesian statistics
    Bayesian Analysis, Vol. 3, No. 3., pp. 445-450.
    by Andrew Gelman
    posted to statistics machine-learning by markusd on 2008-09-17 18:53:43 as ** along with 1 person casutton
  • A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance
    (July 2006), pp. 364-372.
    by Michel Galley
    posted to machine-learning crf by markusd on 2008-09-17 18:52:03 as ** along with 1 person casutton
  • Towards semisupervised classification with Markov random fields
    (2002)
    by X Zhu, Z Ghahramani
    posted to machine-learning by markusd on 2008-09-16 16:29:38 as ** along with 1 person davidr
  • Latent Dirichlet Allocation
    Journal of Machine Learning Research, Vol. 3 (January 2003), pp. 993-1022.
    by David M Blei, Andrew Y Ng, Michael I Jordan
    posted to machine-learning by markusd on 2008-09-15 15:38:30 as ** along with 12 people and 1 group kohei-h pprett ejmeij mthomure sdvillal bundschu julianpan vlachmore adamsi rayzhang pdlug zeppe ilps
  • What are decision trees?
    Nature Biotechnology, Vol. 26, No. 9., pp. 1011-1013.
    by Carl Kingsford, Steven L Salzberg
    posted to machine-learning decision-tree by markusd on 2008-09-15 15:37:39 as ** along with 9 people and 1 group chrisamiller druvus Zephyrus brianb dullhunk sjcockell zwang GeeSharpMinor neils Roswell Cancer Crosstalk
  • Relative Entropy and Statistics
    (29 Aug 2008)
    by François Bavaud
    posted to machine-learning information-theory by markusd on 2008-09-03 17:07:54 as ** along with 4 people markstoehr jjray ansobol cager
  • Structure compilation: trading structure for features
    (2008)
    by Percy Liang, Hal Daumé, Dan Klein
    posted to machine-learning by markusd on 2008-08-17 18:50:56 as ** along with 1 person bhaddow
  • Transductive learning for statistical machine translation
    (2007)
    by Nicola Ueffing, Gholamreza Haffari, Anoop Sarkar
    posted to machine-learning smt by markusd on 2008-08-17 18:50:25 as ** along with 1 person bhaddow
  • Incorporating non-local information into information extraction systems by Gibbs sampling
    (2005), pp. 363-370.
    by Jenny R Finkel, Trond Grenager, Christopher Manning
    posted to gibbs machine-learning by markusd on 2008-08-13 21:04:04 as ** along with 5 people julianpan bhaddow rsantana eegilbert vlachmore
  • Information theory, multivariate dependence, and genetic network inference
    (7 June 2004)
    by Ilya Nemenman
    posted to graph machine-learning by markusd on 2008-08-13 21:03:53 as ** along with 4 people and 1 group nettraq cantupaz rsantana dcoates Philosophy_of_Information
  • The discovery of structural form.
    Proceedings of the National Academy of Sciences of the United States of America (31 July 2008)
    by Charles Kemp, Joshua B B Tenenbaum
    posted to graph machine-learning by markusd on 2008-08-13 21:03:24 as ** along with 19 people and 3 groups stober nojhan stringertheory thefillm amatos markstoehr uhhhhhhhhhhm A_Olympia tmmurali jmchauvet shigepong rsantana tbloomf OriginalLurch jborn deubel jyuh Zephyrus jago Optimization logics of knowledge Roswell Cancer Crosstalk
  • Fractional belief propagation
    (2002), pp. 438-445.
    by Wim Wiegerinck, Tom Heskes
    posted to machine-learning morphology-project by markusd on 2008-08-05 23:45:31 as **
  • Hierarchical Dirichlet Processes
    Journal of the American Statistical Association, Vol. 101, No. 476. (December 2006), pp. 1566-1581.
    by Teh, Yee Whye, Jordan, I Michael, Beal, J Matthew, Blei, M David
    posted to dirichlet machine-learning by markusd on 2008-07-18 15:36:37 as ** along with 6 people mshafiei ccr vlachmore asterix77 bhaddow abrentnall
  • Fully Distributed EM for Very Large Datasets
    (2008)
    by Jason Wolfe, Aria Haghighi, Dan Klein
    posted to em machine-learning by markusd on 2008-07-18 15:36:16 as ** along with 1 person bhaddow
  • Modeling Online Reviews with Multi-Grain Topic Models
    (2008)
    by Ivan Titov, Ryan Mcdonald
    posted to machine-learning topic-model by markusd on 2008-07-18 15:34:28 as ** along with 1 person bhaddow
  • Accurate Max-margin Training for Structured Output Spaces.
    (2008)
    by Sunita Sarawagi, Rahul Gupta
    edited by Sam Roweis, Andrew Mccallum
    posted to machine-learning by markusd on 2008-07-18 15:33:30 as ** along with 1 person kedarb
  • Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo.
    (2008)
    by Salakhyuditnov, Mnih
    posted to bayes machine-learning by markusd on 2008-07-18 15:33:17 as ** along with 1 person kedarb
  • Learning Classifiers from Only Positive and Unlabeled Data
    (2008)
    by Charles Elkan, Keith Noto
    posted to discriminative machine-learning negative-evidence by markusd on 2008-07-18 15:32:55 as ** along with 1 person kedarb
  • An Algorithm to Determine Peer-Reviewers
    (24 May 2006)
    by Marko A Rodriguez, Johan Bollen
    posted to machine-learning misc by markusd on 2008-07-18 15:32:30 as ** along with 7 people and 1 group JSicot viktor21614 dullhunk pdlug nojhan pak entropy Metaheuristics
  • The Dynamic Hierarchical Dirichlet Process
    (2008)
    by Lu Ren, David B Dunson, Lawrence Carin
    posted to machine-learning by markusd on 2008-07-18 15:32:13 as ** along with 1 person ldietz
  • Ultraconservative Online Algorithms for Multiclass Problems
    Vol. 2111 (2001), pp. 99-115.
    by Koby Crammer, Yoram Singer
    posted to machine-learning mira by markusd on 2008-07-17 18:35:58 as **
  • Nonparametric Bayesian Discrete Latent Variable Models for Unsupervised Learning
    (20 April 2007)
    by Dilan Görür
    posted to bayes hidden-variable machine-learning non-parametric by markusd on 2008-06-10 18:28:07 as ** along with 1 person ldietz
  • Grafting: fast, incremental feature selection by gradient descent in function space
    J. Mach. Learn. Res., Vol. 3 (2003), pp. 1333-1356.
    by Simon Perkins, Kevin Lacker, James Theiler
    posted to crf feature-selection machine-learning morphology-project by markusd on 2008-06-01 19:58:24 as ** along with 2 people and 1 group yaroslavvb bpacker vision-ng
  • Latent Dirichlet allocation
    (2002)
    by D Blei, A Ng, M Jordan
    posted to machine-learning by markusd on 2008-05-27 15:43:40 as ** along with 13 people and 4 groups pdlug jekky jeonghochang mshafiei llamerada viditjain anon_pl bayes bhaddow koji_matsuda ehohman cbosuna avulanov CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
  • Inducing Features of Random Fields
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 4. (1997), pp. 380-393.
    by Stephen Della Pietra, Vincent J Della Pietra, John D Lafferty
    posted to crf feature-selection machine-learning morphology-project by markusd on 2008-05-27 15:26:45 as **
  • Infinite Hidden Relational Models
    (2006)
    by Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel
    posted to machine-learning by markusd on 2008-05-13 16:12:38 as ** along with 1 person ldietz
  • Structured priors for structure learning
    (2006)
    by V Mansinghka, C Kemp, J Tenenbaum, T Griffiths
    posted to machine-learning by markusd on 2008-05-13 16:12:01 as ** along with 2 people ldietz roys
  • Hidden conditional random fields for phone classification
    (2005)
    by Asela Gunawardana, Milind Mahajan, Alex Acero, John C Platt
    posted to crf discriminative hcrf machine-learning by markusd on 2008-05-13 14:56:16 as **
  • Training algorithms for hidden conditional random fields
    (2006)
    by Milind Mahajan, Asela Gunawardana, Alex Acero
    posted to crf discriminative hcrf machine-learning by markusd on 2008-05-13 14:54:42 as **
  • Factor graphs and the sum-product algorithm
    Information Theory, IEEE Transactions on, Vol. 47, No. 2. (2001), pp. 498-519.
    by FR Kschischang, BJ Frey, HA Loeliger
    posted to machine-learning morphology-project by markusd on 2008-05-07 19:41:44 as ** along with 17 people yaroslavvb metamerist pcarbo marcosmuller rwm101 chenjinhui rsantana ElQuijote42 zeppe john_ardelius daniel51 delip dlmace nojhan tkollar XIANG arsyed
  • Inside-Outside Probability Computation for Belief Propagation
    (2007)
    by Taisuke Sato
    posted to belief-propagation machine-learning by markusd on 2008-05-07 19:41:33 as ** along with 1 person yaroslavvb
  • Walk-Sums and Belief Propagation in Gaussian Graphical Models
    Journal of Machine Learning Research, Vol. 7 (October 2006)
    by Dmitry Malioutov, Jason Johnson, Alan Willsky
    posted to belief-propagation machine-learning by markusd on 2008-05-07 19:38:16 as ** along with 2 people yaroslavvb daniel51
  • The Infinite Hidden Markov Model
    (2002)
    by MJ Beal, Z Ghahramani, CE Rasmussen
    posted to machine-learning by markusd on 2008-05-07 19:37:36 as ** along with 2 people nojhan akleeman
  • The Infinite Markov Model
    (2008)
    by Daichi Mochihashi, Eiichiro Sumita
    edited by JC Platt, D Koller, Y Singer, S Roweis
    posted to machine-learning by markusd on 2008-05-07 19:37:13 as ** along with 1 person whym
  • Bayesian Computation Via the Gibbs Sampler and Related Markov Chain Monte Carlo Methods
    by AFM Smith, GO Roberts
    posted to gibbs machine-learning by markusd on 2008-05-07 19:34:04 as ** along with 3 people pcarbo icosma delip
  • PCA versus LDA
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 2. (2001), pp. 228-233.
    by Aleix M Martinez, Avinash C Kak
    posted to machine-learning by markusd on 2008-05-07 17:01:11 as ** along with 1 person delip
  • PCA versus LDA
    IEEE Trans. Pattern Anal. Mach. Intell., Vol. 23, No. 2. (February 2001), pp. 228-233.
    by Aleix M Mart∈ez, Avinash C Kak
    posted to machine-learning by markusd on 2008-05-07 16:59:54 as ** along with 2 people ldietz bklynbam
  • Machine Learning
    (01 March 1997)
    by Tom M Mitchell
    posted to machine-learning by markusd on 2008-05-07 16:53:46 as ** along with 24 people and 3 groups misovalko harperf lrozo pdlug yaroslavvb jelsas kmregan carueda jounih buescher76 mthomure hansjoergmueller brunomelo cerkut jvangael ajylha girschick zchen teesid dquercia robotact jdu sfeige bundschu AI RiSE contact-id
  • Exponential Priors for Maximum Entropy Models
    (2003)
    by J Goodman
    posted to machine-learning by markusd on 2008-05-07 16:51:53 as ** along with 2 people whym delip
  • The information bottleneck method
    (1999), pp. 368-377.
    by N Tishby, F Pereira, W Bialek
    posted to machine-learning by markusd on 2008-05-07 16:51:47 as ** along with 14 people and 4 groups yaroslavvb geomblog gangli yiqingtu thsant mhay ajbattle sdvillal anon_pl 223rem vlachmore delip i-stevenson dpf tulip kdl DataMining vision-ng
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