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davidr's library [370 articles]

最近录入 davidr's 文献库.
  • Factorial hidden Markov models and the generalized backfitting algorithm
    Neural Comput., Vol. 14, No. 10. (October 2002), pp. 2415-2437.
    by Robert A Jacobs, Wenxin Jiang, Martin A Tanner
    posted to hmm gam by davidr on 2008-06-01 14:41:13 as **
  • Eigenvalues of AB and BA
    Resonance, Vol. 7, No. 1. (15 January 2002), pp. 88-93.
    by Rajendra Bhatia
    posted to matrix by davidr on 2008-05-30 07:25:29 as **
  • Using Markov chain Monte Carlo and dynamic programming for event sequence data
    Knowl. Inf. Syst., Vol. 7, No. 3. (March 2005), pp. 267-288.
    by Marko Salmenkivi, Heikki Mannila
    posted to mcmc counts by davidr on 2008-05-28 19:37:49 as **
  • Learning to detect events with Markov-modulated poisson processes
    ACM Trans. Knowl. Discov. Data, Vol. 1, No. 3. (December 2007)
    by Alexander Ihler, Jon Hutchins, Padhraic Smyth
    posted to detection counts by davidr on 2008-05-26 22:11:35 as **
  • Calibration-Based Predictive Distributions: An Application of Prequential Analysis to Interest Rates, Money, Prices, and Output
    The Journal of Business, Vol. 62, No. 4. (1989), pp. 477-499.
    by John L Kling, David A Bessler
    posted to sequence-prediction confidence calibration by davidr on 2008-05-26 18:08:19 as **
  • Beyond the point cloud: from transductive to semi-supervised learning
    Vol. 119 (2005), pp. 824-831.
    by Vikas Sindhwani, Partha Niyogi, Mikhail Belkin
    edited by Luc De Raedt, Stefan Wrobel, Luc De Raedt, Stefan Wrobel
    posted to semisupervised rkhs manifold by davidr on 2008-05-15 20:17:02 as **
  • Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
    Journal of Machine Learning Research, Vol. 7 (2006), pp. 2399-2434.
    by M Belkin, P Niyogi, V Sindhwani
    posted to manifold by davidr on 2008-05-15 20:15:03 as **
  • Reproducing Kernel Hilbert Spaces in Probability and Statistics
    (2004)
    by A Bertinet, Thomas C Agnan
    posted to rkhs by davidr on 2008-05-15 20:13:55 as **
  • Fuzzy clustering in parallel universes
    Int. J. Approx. Reasoning, Vol. 45, No. 3. (August 2007), pp. 439-454.
    by Bernd Wiswedel, Michael R Berthold
    posted to multiview clustering by davidr on 2008-04-25 18:49:59 as **
  • Graph based multi-modality learning
    (2005), pp. 862-871.
    by Hanghang Tong, Jingrui He, Mingjing Li, Changshui Zhang, Wei-Ying Ma
    posted to multiview clustering by davidr on 2008-04-25 18:49:02 as **
  • Multi-View Clustering
    (2004), pp. 19-26.
    by Steffen Bickel, Tobias Scheffer
    posted to multiview clustering by davidr on 2008-04-25 18:47:19 as **
  • Estimating the approximation error in learning theory
    Anal. Appl. (Singap.), Vol. 1, No. 1. (2003), pp. 17-41.
    by Steve Smale, Ding-Xuan Zhou
    posted to approximation-theory by davidr on 2008-04-11 20:02:05 as ** along with 1 person mukundn
  • Active + Semi-supervised Learning = Robust Multi-View Learning
    (2002), pp. 435-442.
    by Ion Muslea, Steven Minton, Craig A Knoblock
    posted to no-tag by davidr on 2008-03-02 20:16:47 as ** along with 2 people buescher76 lyongu
  • Unsupervised Learning of Finite Mixture Models
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 3. (2002), pp. 381-396.
    by MAT Figueiredo, AK Jain
    posted to mixture-models by davidr on 2008-03-02 19:39:44 as **
  • Embracing Statistical Challenges in the Information Technology Age
    Technometrics, Vol. 49, No. 3. (August 2007), pp. 237-248.
    by Yu, Bin
    posted to eda by davidr on 2008-02-27 19:54:26 as ** along with 1 person rsantana
  • On the Convergence Properties of the EM Algorithm
    The Annals of Statistics, Vol. 11, No. 1. (1983), pp. 95-103.
    by Jeff FJ Wu
    posted to em by davidr on 2008-02-19 19:01:46 as ** along with 3 people anoopsarkar tvdbulck juokcho
  • Learning Bounds for Kernel Regression Using Effective Data Dimensionality
    Neural Comput., Vol. 17, No. 9. (September 2005), pp. 2077-2098.
    by Tong Zhang
    posted to bounds kernels regression by davidr on 2008-02-13 03:51:31 as ** along with 1 person hcs
  • Theory of Classification: a Survey of Some Recent Advances
    ESAIM: P&S, Vol. 9 (2005), pp. 323-375.
    by Stéphane Boucheron, Olivier Bousquet, Gábor Lugosi
    posted to classification statistical-learning-theory by davidr on 2008-02-08 10:59:03 as **
  • Generalization error for multi-class margin classification
    Electronic Journal of Statistics, Vol. 1 (2007), pp. 307-330.
    by Xiaotong Shen, Lifeng Wang
    posted to no-tag by davidr on 2008-02-04 19:26:27 as **
  • On regularization algorithms in learning theory
    Journal of Complexity, Vol. 23, No. 1. (February 2007), pp. 52-72.
    by Frank Bauer, Sergei Pereverzev, Lorenzo Rosasco
    posted to regularization by davidr on 2008-02-01 20:21:45 as **
  • Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
    Journal of Machine Learning Research, Vol. 7 (November 2006), pp. 2399-2434.
    by Mikhail Belkin, Partha Niyogi, Vikas Sindhwani
    posted to manifolds semisupervised by davidr on 2007-12-11 22:49:03 as ** along with 3 people Scis0000002 teesid mctor
  • Worst-Case Bounds for Gaussian Process Models
    (December 2005)
    by S Kakade, M Seeger, D Foster
    posted to seegerkakadefoster05gaussian by davidr on 2007-12-06 18:11:17 as **
  • Mixture-of-Parents Maximum Entropy Markov Models
    (2007)
    by D Rosenberg, D Klein, B Taskar
    posted to memm mixture-models sequence-models by davidr on 2007-12-06 17:40:39 as **
  • Nonparametric Maximum Likelihood Estimation by the Method of Sieves
    The Annals of Statistics, Vol. 10, No. 2. (1982), pp. 401-414.
    by Stuart Geman, Chii-Ruey Hwang
    posted to mle nonparametric sieves by davidr on 2007-12-02 06:37:01 as **
  • Universal sequential coding of single messages
    Problems of Information Transmission, Vol. 23, No. 3. (1987), pp. 175-186.
    by YM Shtarkov
    posted to nml sequence-prediction by davidr on 2007-11-30 21:45:04 as **
  • Lower bounds on expected redundancy for nonparametric classes
    Information Theory, IEEE Transactions on, Vol. 42, No. 1. (1996), pp. 272-275.
    by Bin Yu
    posted to coding nonparametric sequence-prediction by davidr on 2007-11-29 03:57:22 as **
  • Using and combining predictors that specialize
    (1997), pp. 334-343.
    by Yoav Freund, Robert E Schapire, Yoram Singer, Manfred K Warmuth
    posted to bma sequence-prediction by davidr on 2007-11-25 20:14:11 as **
  • Towards a practicable Bayesian nonparametric density estimator
    Biometrika, Vol. 78, No. 3. (1991), pp. 531-543.
    by Peter J Lenk
    posted to bayesian density-estimation gaussian-process nonparametric by davidr on 2007-11-21 06:23:37 as **
  • Optimal inequalities in probability theory: a convex optimization approach
    (1998)
    by D Bertsimas, I Popescu
    posted to inequalities minimax optimization probability-theory by davidr on 2007-11-13 22:52:43 as **
  • Rates of Convergence for the Gaussian Mixture Sieve
    The Annals of Statistics, Vol. 28, No. 4. (2000), pp. 1105-1127.
    by Christopher R Genovese, Larry Wasserman
    posted to gmm mixture-models model-selection rates by davidr on 2007-11-08 19:59:28 as **
  • Generalization error bounds for Bayesian mixture algorithms
    J. Mach. Learn. Res., Vol. 4 (2003), pp. 839-860.
    by Ron Meir, Tong Zhang
    posted to bayesian generalization mixture-models rademacher by davidr on 2007-11-08 19:08:13 as **
  • Curve Fitting and Optimal Design for Prediction
    by A O'Hagan, JFC Kingman
    posted to bayesian gaussian-process by davidr on 2007-11-02 20:53:21 as **
  • Fast online SVD revisions for lightweight recommender systems
    (2003)
    by M Brand
    posted to collaborative-filtering online-learning svd by davidr on 2007-11-01 22:28:22 as ** along with 3 people sugarexpletive robincha stewi2
  • Combining Gaussian Mixture Models
    Intelligent Data Engineering and Automated Learning – IDEAL 2004 (2004), pp. 666-671.
    by Hyoung-Joo Lee, Sungzoon Cho
    posted to gmm mixture-models by davidr on 2007-10-24 01:52:44 as **
  • Approximating the Kullback Leibler Divergence Between Gaussian Mixture Models
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on, Vol. 4 (2007), pp. IV-317-IV-320.
    by JR Hershey, PA Olsen
    posted to mixture-models by davidr on 2007-10-24 01:25:34 as **
  • Bounds on the Negative Exponential Function
    The American Mathematical Monthly, Vol. 87, No. 4. (1980), pp. 290-292.
    by Khursheed Alam
    posted to bounds inequalities math by davidr on 2007-10-22 23:34:12 as **
  • Majorizing Measures: The Generic Chaining
    The Annals of Probability, Vol. 24, No. 3. (1996), pp. 1049-1103.
    by Michel Talagrand
    posted to empirical-processes by davidr on 2007-10-21 01:01:08 as **
  • Corrections to "Central Limit Theorems for Empirical Measures"
    The Annals of Probability, Vol. 7, No. 5. (1979), pp. 909-911.
    by RM Dudley
    posted to empirical-processes by davidr on 2007-10-20 23:38:20 as **
  • Central Limit Theorems for Empirical Measures
    The Annals of Probability, Vol. 6, No. 6. (1978), pp. 899-929.
    by RM Dudley
    posted to empirical-processes by davidr on 2007-10-20 23:37:32 as **
  • Recent asymptotic results in testing for mixtures
    Comput. Stat. Data Anal., Vol. 51, No. 11. (July 2007), pp. 5295-5304.
    by Bernard Garel
    posted to asymptotics mixture-of-experts by davidr on 2007-10-16 21:21:57 as **
  • Universal linear least squares prediction: upper and lower bounds
    Information Theory, IEEE Transactions on, Vol. 48, No. 8. (2002), pp. 2354-2362.
    by AC Singer, SS Kozat, M Feder
    posted to sequence-prediction by davidr on 2007-10-12 21:20:01 as **
  • Approximation, Metric Entropy and Small Ball Estimates for Gaussian Measures
    by Wenbo V Li
    posted to approximation-theory rkhs-theory by davidr on 2007-10-10 22:05:44 as **
  • On the generalization ability of on-line learning algorithms
    Information Theory, IEEE Transactions on, Vol. 50, No. 9. (2004), pp. 2050-2057.
    by N Cesa-Bianchi, A Conconi, C Gentile
    posted to generalization online-learning by davidr on 2007-10-08 19:58:58 as **
  • The minimum description length principle in coding and modeling
    Information Theory, IEEE Transactions on, Vol. 44, No. 6. (1998), pp. 2743-2760.
    by A Barron, J Rissanen, Bin Yu
    posted to mdl by davidr on 2007-10-08 02:44:09 as ** along with 1 person marrtin
  • Functions of Positive and Negative Type, and their Connection with the Theory of Integral Equations
    Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a Math. or Phys. Character (1896-1934), Vol. 209, No. -1. (1 January 1909), pp. 415-446.
    by J Mercer
    posted to rkhs-theory by davidr on 2007-10-03 02:40:32 as **
  • The Rademacher Complexity of Co-Regularized Kernel Classes
    (2007)
    by David Rosenberg, Peter L Bartlett
    edited by Marina Meila, Xiaotong Shen
    posted to bibtex-import by davidr on 2007-10-02 02:16:23 as **
  • Infinite mixtures of gaussian process experts
    (2002)
    by C Rasmussen, Z Ghahramani
    posted to gaussian-process mixture-of-experts by davidr on 2007-09-29 05:48:06 as **
  • Leading strategies in competitive on-line prediction
    (27 Jul 2006)
    by Vladimir Vovk
    posted to sequence-prediction by davidr on 2007-09-28 22:30:32 as ** along with 2 people and 2 groups float scis0000001 automatic_summarization NLP
  • Metric entropy in competitive on-line prediction
    (9 Sep 2006)
    by Vladimir Vovk
    posted to sequence-prediction by davidr on 2007-09-28 22:09:51 as ** along with 1 person jsr
  • Learning curves for Gaussian process regression: approximations and bounds
    Neural Comput., Vol. 14, No. 6. (June 2002), pp. 1393-1428.
    by Peter Sollich, Anason Halees
    posted to approximation-theory gaussian-process generalization by davidr on 2007-09-28 19:47:12 as **
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