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pechyony's library [59 articles]

最近录入 pechyony's 文献库.
  • Learning convex combinations of continuously parametrized basic kernels
    COLT 2005
    posted to learning_kernels by pechyony on 2005-06-29 10:23:51 as ****
  • Stability and generalization
    J. Mach. Learn. Res., Vol. 2 (2002), pp. 499-526.
    by Olivier Bousquet, Andr&\#233; Elisseeff
    posted to stability by pechyony on 2005-06-26 10:05:36 as ***** along with 3 people yaroslavvb olivierbousquet davidr
  • How Many Clusters? An Information-Theoretic Perspective
    Neural Computation
    posted to information_theoretic_clustering by pechyony on 2005-05-01 10:26:26 as **
  • Text classification using string kernels
    JMLR
    posted to text_mining by pechyony on 2005-05-01 10:22:59 as **
  • Distribution word clusters vs. words for text categorization
    JMLR 2003
    posted to information_theoretic_clustering text_mining by pechyony on 2005-05-01 09:04:50 as ***
  • A divisible information-theoretic clustering algorithm for text classification
    JMLR 2003
    posted to information_theoretic_clustering text_mining by pechyony on 2005-05-01 09:03:26 as ***
  • Sublinear time approximation for clustering via random sampling
    ICALP 2004
    posted to sublinear_time_clustering by pechyony on 2005-04-28 12:28:20 as ***
  • Testing of Clustering
    SIAM J. Discr. Math.
    by SD Noga
    posted to sublinear_time_clustering by pechyony on 2005-04-18 00:56:52 as *****
  • Sublinear Time Approximate Clustering
    SODA 2001
    by DO Nina
    posted to sublinear_time_clustering by pechyony on 2005-04-18 00:51:57 as *****
  • A Framework for Statistical Clustering with a Constant Time Approximation Algorithms for K-median Clustering
    COLT 2004
    by Shai Ben-David
    posted to sublinear_time_clustering by pechyony on 2005-04-18 00:50:31 as *****
  • A k-Median Algorithm with Running Time Independent of Data Size
    Machine Learning
    by LO Adam
    posted to sublinear_time_clustering by pechyony on 2005-04-18 00:48:11 as *****
  • Kernel Design using Boosting
    NIPS 2002
    posted to kernel_martix_learning by pechyony on 2005-04-09 12:15:30 as ****
  • Bayesian Inference for Transductive Learning of Kernel Matrix Using the Tanner-Wong Data Augmentation Algorithm
    NIPS 2004
    posted to kernel_martix_learning transductive_learning by pechyony on 2005-04-09 12:13:00 as ***
  • On the Complexity of Learning the Kernel Matrix
    NIPS 2003
    posted to kernel_martix_learning rademacher_compexity_bound by pechyony on 2005-04-09 12:10:16 as ****
  • Learning the Kernel Matrix with Semidefinite Programming
    JMLR 2004
    posted to kernel_martix_learning transductive_learning by pechyony on 2005-04-09 12:07:19 as ****
  • Dimension Reduction in Text Classification with Support Vector Machines
    JMLR 2005
    posted to feature_selection svm by pechyony on 2005-04-07 17:15:07 as **
  • A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs
    JMLR 2005
    posted to svm by pechyony on 2005-04-07 17:12:56 as **
  • Core Vector Machines: Fast SVM Training on Very Large Data Sets
    JMLR 2005
    posted to svm by pechyony on 2005-04-07 17:11:11 as **
  • Using Unlabeled Data to Improve Text Classification
    (2001)
    by Kamal Nigam
  • Unlabeled data can degrade classification performance of generative classifiers
    (2002), pp. 327-331.
    by F Cozman, I Cohen
    posted to semi-supervised_learning by pechyony on 2005-04-07 17:02:51 as *** along with 1 person davidr
  • A regularization framework for learning from graph data
    posted to link_prediction transductive_learning by pechyony on 2005-03-21 09:15:15 as ***
  • Statistical relational learning for link prediction
    by APaL Popescul
    posted to link_prediction by pechyony on 2005-03-21 09:07:08 as *** along with 1 person eldaly
  • Link prediction in relational data
    NIPS 2003
    posted to link_prediction by pechyony on 2005-03-21 09:04:34 as ***
  • The Link Prediction Problem for Social Networks
    by DLaJ Liben-Nowell
    posted to link_prediction by pechyony on 2005-03-21 08:30:51 as *** along with 1 person ldietz
  • Colalborative learning and predictive systems
    ICML 2001
    posted to collaborative_filtering by pechyony on 2005-03-20 17:07:10 as ***
  • An Empirical Analysis of Design Choices in Neighborhood-based Collaborative Filtering Algorithms
    posted to collaborative_filtering by pechyony on 2005-03-20 09:20:08 as ***
  • Integrating Feature Information for Improving Accuracy of Collaborative Filtering
    posted to collaborative_filtering by pechyony on 2005-03-20 09:06:18 as ***
  • notes A coollaborative filtering algorithm and evaluation metric that accurately model the user experience
    SIGIR 2004
    posted to collaborative_filtering by pechyony on 2005-03-20 08:56:42 as ****
  • Recommender systems using linear classifiers
    posted to collaborative_filtering by pechyony on 2005-03-02 09:23:16 as ***
  • On the improtance of small coordinate projections
    JMLR
    posted to random_projections by pechyony on 2005-03-01 20:00:18 as **
  • Stability of randomized learning algorithms
    JMLR
    posted to stability by pechyony on 2005-03-01 19:55:26 as **
  • Transductive learning via spectral graph partitioning
    ICML 2003
    posted to transductive_learning by pechyony on 2005-02-26 20:04:52 as **** along with 2 people ldietz scis0000001
  • Transductive Learning via Model Selection
    NIPS 2004
    posted to model_selection transductive_learning by pechyony on 2005-02-26 20:02:45 as *****
  • Active learning using pre-clustering
    ICML 2004 (2004)
    by Hieu T Nguyen, Arnold Smeulders
  • Leveraging the margin more carefully
    ICML 2004 (2004)
    by Nir Krause, Yoram Singer
    posted to boosting by pechyony on 2005-02-26 16:48:33 as **
  • Estimating replicability of classifier learning experiments
    ICML 2004 (2004)
    by Remco R Bouckaert
    posted to experiments by pechyony on 2005-02-26 16:46:24 as **
  • Active learning of label ranking functions
    ICML 2004 (2004)
    by Klaus Brinker
    posted to active_pool-based_learning by pechyony on 2005-02-26 16:43:22 as *** along with 1 person ebrochu
  • Links between perceptrons, MLPs and SVMs
    ICML 2004 (2004)
    by Ronan Collobert, Samy Bengio
    posted to perceptron svm by pechyony on 2005-02-25 22:22:56 as **
  • Semi-supervised learning using randomized mincuts
    ICML 2004 (2004)
    by Avrim Blum, John Lafferty, Mugizi R Rwebangira, Rajashekar Reddy
  • Using mixture models for collaborative filtering
    STOC 2004 (2004), pp. 569-578.
    by Jon Kleinberg, Mark Sandler
  • Learnability and Automatizability
    FOCS 2004
    posted to decision_trees dnf hardness_of_learnability by pechyony on 2005-02-25 22:02:49 as ****
  • A Simple Linear Time (1+∊)-Approximation Algorithm for k-Means Clustering in Any Dimensions
    FOCS 2004
    posted to clustering by pechyony on 2005-02-25 17:15:53 as ****
  • Co-Validation: Using Model Disagreement to Validate Classification Algorithms
    NIPS 2004
  • Kernel Projection Machine: a New Tool for Pattern Recognition
    NIPS 2004
    posted to svm by pechyony on 2005-02-25 15:39:16 as **
  • A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning
    NIPS 2004
    posted to semi-supervised_learning by pechyony on 2005-02-25 15:30:19 as ***
  • Maximum-Margin Matrix Factorization
    NIPS 2004
    posted to collaborative_filtering by pechyony on 2005-02-25 15:28:29 as ***
  • The Entire Regularization Path for the Support Vector Machine
    NIPS 2004
    posted to svm by pechyony on 2005-02-25 15:26:16 as ***
  • Semi-supervised learning on directed graphs
    NIPS 2004
    posted to transductive_learning by pechyony on 2005-02-25 15:22:33 as ***
  • On the Adaptive Properties of Decision Trees
    NIPS 2004
    posted to decision_trees generalization_bounds by pechyony on 2005-02-25 15:21:34 as ***
  • Semi-supervised Learning by Entropy Minimization
    NIPS 2004
    posted to no-tag by pechyony on 2005-02-25 15:18:46 as ****
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