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markusds library [210 articles]

Nye artikler sendt til markusds bibliotek.
  • Nonparametric Bayesian Discrete Latent Variable Models for Unsupervised Learning
    (20 April 2007)
    by Dilan Görür
    posted to non-parametric machine-learning hidden-variable bayes by markusd on 2008-06-10 18:28:07 as ** along with 1 person ldietz
  • A Discriminative Latent Variable Model for Statistical Machine Translation
    (2008)
    by Phil Blunsom, Trevor Cohn, Miles Osborne
    posted to smt discriminative by markusd on 2008-06-10 18:24:47 as ** along with 1 person bhaddow
  • Discriminative Word Alignment with Conditional Random Fields
    (July 2006), pp. 65-72.
    by Phil Blunsom, Trevor Cohn
    posted to word-alignment smt discriminative crf by markusd on 2008-06-05 15:51:27 as **
  • 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 morphology-project machine-learning feature-selection crf by markusd on 2008-06-01 19:58:24 as ** along with 2 people and 1 group yaroslavvb bpacker vision-ng
  • ParaMor: Minimally Supervised Induction of Paradigm Structure and Morphological Analysis
    (June 2007), pp. 117-125.
    by Christian Monson, Jaime Carbonell, Alon Lavie, Lori Levin
    posted to morphology-project by markusd on 2008-05-31 22:16:22 as **
  • Efficient Multi-pass Decoding for Synchronous Context Free Grammars
    (2008)
    by Hao Zhang, Daniel Gildea
    posted to smt by markusd on 2008-05-31 21:43:00 as ** along with 1 person bhaddow
  • Phonological Constraints and Morphological Preprocessing for Grapheme-to-Phoneme Conversion
    (June 2007), pp. 96-103.
    by Vera Demberg, Helmut Schmid, Gregor Möhler
    posted to morphology-project joint-ngram by markusd on 2008-05-31 20:52:48 as **
  • 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 12 people and 4 groups pdlug jekky jeonghochang mshafiei llamerada viditjain anon_pl bayes bhaddow koji_matsuda ehohman cbosuna 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 morphology-project machine-learning feature-selection crf 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 1 person ldietz
  • Hidden conditional random fields for phone classification
    (2005)
    by Asela Gunawardana, Milind Mahajan, Alex Acero, John C Platt
    posted to machine-learning hcrf discriminative crf 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 machine-learning hcrf discriminative crf by markusd on 2008-05-13 14:54:42 as **
  • Regularization, Adaptation, and Non-Independent Features Improve Hidden Conditional Random Fields for Phone Classification
    (2007)
    by Yun-Hsuan Sung, Constantinos Boulis, Christopher Manning, Dan Jurafsky
    posted to morphology-project hcrf discriminative crf by markusd on 2008-05-13 14:48:16 as **
  • Morphology Induction from Limited Noisy Data Using Approximate String Matching
    (June 2006), pp. 60-68.
    by Burcu K Ayan, David Doermann, Amy Weinberg
    posted to morphology-project by markusd on 2008-05-07 19:43:29 as ** along with 1 person whym
  • Learning Probabilistic Paradigms for Morphology in a Latent Class Model
    (June 2006), pp. 69-78.
    by Erwin Chan
    posted to morphology-project by markusd on 2008-05-07 19:42:52 as ** along with 1 person whym
  • 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 morphology-project machine-learning by markusd on 2008-05-07 19:41:44 as ** along with 16 people tkollar XIANG nojhan dlmace yaroslavvb metamerist pcarbo marcosmuller rwm101 chenjinhui rsantana ElQuijote42 zeppe john_ardelius daniel51 delip
  • Inside-Outside Probability Computation for Belief Propagation
    (2007)
    by Taisuke Sato
    posted to machine-learning belief-propagation by markusd on 2008-05-07 19:41:33 as ** along with 1 person yaroslavvb
  • An introduction to factor graphs
    Signal Processing Magazine, IEEE, Vol. 21, No. 1. (2004), pp. 28-41.
    by HA Loeliger
    posted to graphical-models graph by markusd on 2008-05-07 19:38:25 as ** along with 2 people delip 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 machine-learning belief-propagation by markusd on 2008-05-07 19:38:16 as ** along with 2 people yaroslavvb daniel51
  • Understanding the Subprime Mortgage Crisis
    Social Science Research Network Working Paper Series (29 February 2008)
    by Yuliya Demyanyk, Otto VAN Hemert
    posted to misc by markusd on 2008-05-07 19:37:50 as ** along with 2 people vrvikas pdlug
  • 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 1 person nojhan
  • 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
  • Introduction: A Typological Approach to Algorithmic Morphology
    (November 2007)
    by T Mayer, B Wälchli
    posted to morphology-project by markusd on 2008-05-07 19:36:59 as ** along with 1 person whym
  • Graph Walks and Graphical Models
    (2007)
    by William Cohen
    posted to graph by markusd on 2008-05-07 19:35:58 as ** along with 2 people delip yaroslavvb
  • Graph Theory
    by Frank Harary
    posted to graphs by markusd on 2008-05-07 19:34:53 as ** along with 5 people and 1 group yaroslavvb nkorf wnpx bigbossman Repton Semantic-Social-Networks
  • Foundations of Statistical Natural Language Processing
    (18 June 1999)
    by Christopher D Manning, Hinrich Schtze
    posted to nlp by markusd on 2008-05-07 19:34:28 as ** along with 31 people and 7 groups tobiaten delip quianominorleo jliegl yaroslavvb creswick phlow Enro korakot pdlug fmatthes arthit jelsas bkhl tijl nkorf grzegorz leidner vera46 caomo bigbossman phoenix makimoto whym florianleitner takifugu matwendt suizan pprett bemike spinaltap526 Philosophy_of_Information Blog_and_Wiki_Research automatic_summarization STP Pattern-Analysis Semantic-Social-Networks AI
  • Bayesian Computation Via the Gibbs Sampler and Related Markov Chain Monte Carlo Methods
    by AFM Smith, GO Roberts
    posted to machine-learning gibbs by markusd on 2008-05-07 19:34:04 as ** along with 3 people delip pcarbo icosma
  • 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 bklynbam ldietz
  • 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 21 people and 3 groups bundschu pdlug yaroslavvb jelsas kmregan carueda jounih buescher76 mthomure hansjoergmueller brunomelo cerkut jvangael ajylha girschick zchen teesid dquercia robotact jdu sfeige 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 delip whym
  • 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 13 people and 4 groups delip i-stevenson yaroslavvb geomblog gangli yiqingtu thsant mhay ajbattle sdvillal anon_pl 223rem vlachmore tulip kdl DataMining vision-ng
  • Pattern Recognition and Machine Learning (Information Science and Statistics)
    (28 August 2006)
    by Christopher M Bishop
    posted to sum-product machine-learning by markusd on 2008-05-07 16:51:39 as ** along with 22 people and 5 groups filippone quianominorleo matjes delip eddymier yaroslavvb sdvillal nojhan gkvas paulinus ajylha helsley hawkes zeppe poluxmoon librain kohei-h brianmc napvasconcelos teesid robotact Hoertnagl EvolutionaryComputation Metaheuristics Optimization contact-id MuSAMA
  • Information Theory, Inference & Learning Algorithms
    (15 June 2002)
    by David JC Mackay
    posted to machine-learning information-theory by markusd on 2008-05-07 16:51:28 as ** along with 39 people and 5 groups matjes delip lop ekatsyrk quianominorleo A_Olympia ansobol yaroslavvb JoSeK 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
  • Discovering Significant Patterns
    Machine Learning
    by Geoffrey Webb
    posted to machine-learning by markusd on 2008-05-07 16:51:15 as ** along with 4 people briordan zoop katja msampson
  • Annealing stochastic approximation Monte Carlo algorithm for neural network training
    Machine Learning, Vol. 68, No. 3. (23 October 2007), pp. 201-233.
    by Faming Liang
    posted to machine-learning by markusd on 2008-05-07 16:51:05 as ** along with 1 person pcarbo
  • Discrete Mathematics for Computer Science, Some Notes
    (5 May 2008)
    by Jean Gallier
    posted to mathematics machine-learning by markusd on 2008-05-07 16:50:22 as ** along with 3 people jrw pdlug ansobol
  • What is principal component analysis?
    Nature Biotechnology, Vol. 26, No. 3., pp. 303-304.
    by Markus Ringnér
    posted to pca machine-learning by markusd on 2008-05-07 16:46:48 as ** along with 48 people and 3 groups tharris rsantana kengg laharrin chrissp100 xingxu dekay23 rvosa i-stevenson dimka dayjm ashko craigwilson06 abbie_riner quianominorleo bibay2004 jfr kristgy pavanghatty rchauhan waghsk hpaces adacier fryanpan sobolevnrm Yanno jyuh operon barry baaic dullhunk Bevan_Weir zeji gareth massivemayhem zwang GustavoLacerda GeeSharpMinor bmaust zambujo mingzhi starz1010101 maralena wchannels sunhwan jennifermbui kdelavega zhouyu FAB-lab Bioinformatics baker-group
  • Probabilistic inference using Markov chain Monte Carlo methods
    (25 September 1993)
    by Radford M Neal
    posted to mcmc machine-learning by markusd on 2008-05-07 16:46:31 as ** along with 2 people delip ldietz
  • Getting Started in Probabilistic Graphical Models
    PLoS Computational Biology, Vol. 3, No. 12. (December 2007), pp. 2421-2425.
    by Edoardo M Airoldi
    posted to machine-learning by markusd on 2008-05-07 16:45:05 as ** along with 2 people delip ldietz
  • Markov Chain Monte Carlo in Practice
    (01 December 1995)
    by WR Gilks
    posted to mcmc machine-learning by markusd on 2008-05-07 16:44:57 as ** along with 11 people and 1 group abbie_riner ldietz fredguilloux rpadams eme Borelli metamerist wasteland93 lcigler Xavier roys astro
  • The Bayesian Choice
    (2007)
    by C Robert
    posted to machine-learning by markusd on 2008-05-07 16:43:18 as ** along with 1 person pcarbo
  • Metropolized independent sampling with comparisons to rejection sampling and importance sampling
    Statistics and Computing, Vol. 6, No. 2. (1 June 1996), pp. 113-119.
    by Jun S Liu
    posted to mcmc machine-learning gibbs by markusd on 2008-05-07 16:43:09 as ** along with 1 person pcarbo
  • Markov Chain Monte Carlo Method and Its Application
    by Stephen P Brooks
    posted to mcmc machine-learning gibbs by markusd on 2008-05-07 16:42:57 as ** along with 5 people delip microserf icosma alexv Xavier
  • Monte Carlo Sampling Methods Using Markov Chains and Their Applications
    Biometrika, Vol. 57, No. 1. (1970), pp. 97-109.
    by WK Hastings
    posted to mcmc machine-learning gibbs by markusd on 2008-05-07 16:42:48 as ** along with 4 people bfraser icosma rabio lcigler
  • Markov Chain Monte Carlo in Practice: A Roundtable Discussion
    The American Statistician, Vol. 52, No. 2. (1998), pp. 93-100.
    by Robert E Kass, Bradley P Carlin, Andrew Gelman, Radford M Neal
    posted to mcmc machine-learning gibbs by markusd on 2008-05-07 16:42:39 as ** along with 4 people jrblevin i-stevenson ddahlem icosma
  • Facilitating the Gibbs Sampler: The Gibbs Stopper and the Griddy-Gibbs Sampler
    Journal of the American Statistical Association, Vol. 87, No. 419. (1992), pp. 861-868.
    by Christian Ritter, Martin A Tanner
    posted to mcmc machine-learning gibbs by markusd on 2008-05-07 16:42:24 as ** along with 1 person icosma
  • Bayesian Statistics without Tears: A Sampling-Resampling Perspective
    The American Statistician, Vol. 46, No. 2. (1992), pp. 84-88.
    by AFM Smith, AE Gelfand
    posted to mcmc machine-learning gibbs by markusd on 2008-05-07 16:42:12 as ** along with 3 people frohike abbie_riner icosma
  • The Calculation of Posterior Distributions by Data Augmentation
    Journal of the American Statistical Association, Vol. 82, No. 398. (1987), pp. 528-540.
    by Martin A Tanner, Wing H Wong
    posted to machine-learning by markusd on 2008-05-07 16:41:56 as ** along with 4 people and 1 group abbie_riner icosma plm rharang SAA-HSA
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