Papers
Breaking Audio CAPTCHAs
Jennifer Tam, Jiri Simsa, Sean Hyde et al.
Regularized Learning with Networks of Features
Ted Sandler, John Blitzer, Partha P. Talukdar et al.
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
Ali Rahimi, Benjamin Recht
Domain Adaptation with Multiple Sources
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
Supervised Bipartite Graph Inference
Yoshihiro Yamanishi
Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation
Lukas Kroc, Ashish Sabharwal, Bart Selman
Evaluating probabilities under high-dimensional latent variable models
Iain Murray, Ruslan Salakhutdinov
Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization
Liu Yang, Rong Jin, Rahul Sukthankar
MDPs with Non-Deterministic Policies
Mahdi M. Fard, Joelle Pineau
Influence of graph construction on graph-based clustering measures
Markus Maier, Ulrike V. Luxburg, Matthias Hein
Performance analysis for L\_2 kernel classification
Jooseuk Kim, Clayton Scott
Biasing Approximate Dynamic Programming with a Lower Discount Factor
Marek Petrik, Bruno Scherrer
Kernel Change-point Analysis
Zaïd Harchaoui, Eric Moulines, Francis R. Bach
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
Gabriele Schweikert, Gunnar Rätsch, Christian K. Widmer et al.
Hebbian Learning of Bayes Optimal Decisions
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
Modeling human function learning with Gaussian processes
Thomas L. Griffiths, Chris Lucas, Joseph Williams et al.
Unifying the Sensory and Motor Components of Sensorimotor Adaptation
Adrian Haith, Carl P. Jackson, R. C. Miall et al.
Unlabeled data: Now it helps, now it doesn't
Aarti Singh, Robert Nowak, Xiaojin Zhu
On the Efficient Minimization of Classification Calibrated Surrogates
Richard Nock, Frank Nielsen
Linear Classification and Selective Sampling Under Low Noise Conditions
Giovanni Cavallanti, Nicolò Cesa-bianchi, Claudio Gentile
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
Ben Calderhead, Mark Girolami, Neil D. Lawrence
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
Geremy Heitz, Stephen Gould, Ashutosh Saxena et al.
Asynchronous Distributed Learning of Topic Models
Padhraic Smyth, Max Welling, Arthur U. Asuncion
Structured ranking learning using cumulative distribution networks
Jim C. Huang, Brendan J. Frey