MLJ 2010

58 papers

A Co-Classification Approach to Learning from Multilingual Corpora Massih-Reza Amini, Cyril Goutte

A Comparison of Pruning Criteria for Probability Trees Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe

A Cooperative Coevolutionary Algorithm for Instance Selection for Instance-Based Learning Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Domingo Ortiz-Boyer

A Geometric View of Conjugate Priors Arvind Agarwal, Hal Daumé Iii

A Multivariate Bayesian Scan Statistic for Early Event Detection and Characterization Daniel B. Neill, Gregory F. Cooper

A Process for Predicting Manhole Events in Manhattan Cynthia Rudin, Rebecca J. Passonneau, Axinia Radeva, Haimonti Dutta, Steve Ierome, Delfina Isaac

A Segmented Topic Model Based on the Two-Parameter Poisson-Dirichlet Process Lan Du, Wray L. Buntine, Huidong Jin

A Theory of Learning from Different Domains Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman Vaughan

Adaptive-Resolution Reinforcement Learning with Polynomial Exploration in Deterministic Domains Andrey Bernstein, Nahum Shimkin

Algorithms for Optimal Dyadic Decision Trees Don R. Hush, Reid B. Porter

Algorithms for Subsetting Attribute Values with Relief Janez Demsar

An Ensemble Uncertainty Aware Measure for Directed Hill Climbing Ensemble Pruning Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas

Bayesian Generalized Probability Calculus for Density Matrices Manfred K. Warmuth, Dima Kuzmin

Bayesian Instance Selection for the Nearest Neighbor Rule Sylvain Ferrandiz, Marc Boullé

Classification with Guaranteed Probability of Error Marco C. Campi

Composite Kernel Learning Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy

Concept Learning in Description Logics Using Refinement Operators Jens Lehmann, Pascal Hitzler

Decomposing the Tensor Kernel Support Vector Machine for Neuroscience Data with Structured Labels David R. Hardoon, John Shawe-Taylor

Dimension Reduction and Its Application to Model-Based Exploration in Continuous Spaces Ali Nouri, Michael L. Littman

Ensemble Clustering Using Semidefinite Programming with Applications Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu

Extracting Certainty from Uncertainty: Regret Bounded by Variation in Costs Elad Hazan, Satyen Kale

Fast Adaptive Algorithms for Abrupt Change Detection Daniel Nikovski, Ankur Jain

Fast Learning of Relational Kernels Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi

Finding a Short and Accurate Decision Rule in Disjunctive Normal Form by Exhaustive Search Peter R. Rijnbeek, Jan A. Kors

Graph Regularization Methods for Web Spam Detection Jacob D. Abernethy, Olivier Chapelle, Carlos Castillo

Improving Reinforcement Learning by Using Sequence Trees Sertan Girgin, Faruk Polat, Reda Alhajj

Increasing Coverage to Improve Detection of Network and Host Anomalies Gaurav Tandon, Philip K. Chan

Inductive Transfer for Learning Bayesian Networks Roger Luis, Luis Enrique Sucar, Eduardo F. Morales

Infinite Factorization of Multiple Non-Parametric Views Simon Rogers, Arto Klami, Janne Sinkkonen, Mark A. Girolami, Samuel Kaski

Large Scale Image Annotation: Learning to Rank with Joint Word-Image Embeddings Jason Weston, Samy Bengio, Nicolas Usunier

Learning the Set Covering Machine by Bound Minimization and Margin-Sparsity Trade-Off François Laviolette, Mario Marchand, Mohak Shah, Sara Shanian

Learning to Classify with Missing and Corrupted Features Ofer Dekel, Ohad Shamir, Lin Xiao

Learning to Detect Incidents from Noisily Labeled Data Tomás Singliar, Milos Hauskrecht

Learning to Rank on Graphs Shivani Agarwal

Machine Learning Algorithms for Event Detection Dragos D. Margineantu, Weng-Keen Wong, Denver Dash

Machine Learning in Adversarial Environments Pavel Laskov, Richard Lippmann

Methods for the Combination of Kernel Matrices Within a Support Vector Framework Isaac Martín de Diego, Alberto Muñoz, Javier M. Moguerza

Mining Adversarial Patterns via Regularized Loss Minimization Wei Liu, Sanjay Chawla

Mining Frequent Closed Rooted Trees José L. Balcázar, Albert Bifet, Antoni Lozano

Multi-Domain Learning by Confidence-Weighted Parameter Combination Mark Dredze, Alex Kulesza, Koby Crammer

Multi-View Kernel Construction Virginia R. de Sa, Patrick W. Gallagher, Joshua M. Lewis, Vicente L. Malave

On the Eigenvectors of P-Laplacian Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie

On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms Shai Shalev-Shwartz, Yoram Singer

On the Infeasibility of Modeling Polymorphic Shellcode - Re-Thinking the Role of Learning in Intrusion Detection Systems Yingbo Song, Michael E. Locasto, Angelos Stavrou, Angelos D. Keromytis, Salvatore J. Stolfo

On the Quest for Optimal Rule Learning Heuristics Frederik Janssen, Johannes Fürnkranz

Pointwise Exact Bootstrap Distributions of ROC Curves Charles Dugas, David Gadoury

Polynomial Regression Under Arbitrary Product Distributions Eric Blais, Ryan O'Donnell, Karl Wimmer

Preference-Based Learning to Rank Nir Ailon, Mehryar Mohri

Random Classification Noise Defeats All Convex Potential Boosters Philip M. Long, Rocco A. Servedio

Regret Bounds for Sleeping Experts and Bandits Robert Kleinberg, Alexandru Niculescu-Mizil, Yogeshwer Sharma

Relational Retrieval Using a Combination of Path-Constrained Random Walks Ni Lao, William W. Cohen

Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, Jun Sese

Stability and Model Selection in K-Means Clustering Ohad Shamir, Naftali Tishby

Temporal Kernel CCA and Its Application in Multimodal Neuronal Data Analysis Felix Bießmann, Frank C. Meinecke, Arthur Gretton, Alexander Rauch, Gregor Rainer, Nikos K. Logothetis, Klaus-Robert Müller

The Machine Learning Journal: 250 Issues and Counting Peter A. Flach

The Security of Machine Learning Marco Barreno, Blaine Nelson, Anthony D. Joseph, J. D. Tygar

The True Sample Complexity of Active Learning Maria-Florina Balcan, Steve Hanneke, Jennifer Wortman Vaughan

Time Varying Undirected Graphs Shuheng Zhou, John D. Lafferty, Larry A. Wasserman