Papers
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting
Ping Li, Qiang Wu, Christopher J. Burges
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations
M. M. Mahmud, Sylvian Ray
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
Alexander L. Strehl, Michael L. Littman
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms
Dominik Endres, Mike Oram, Johannes Schindelin et al.
Active Preference Learning with Discrete Choice Data
Brochu Eric, Nando D. Freitas, Abhijeet Ghosh
Retrieved context and the discovery of semantic structure
Vinayak Rao, Marc Howard
The Infinite Markov Model
Daichi Mochihashi, Eiichiro Sumita
Learning and using relational theories
Charles Kemp, Noah Goodman, Joshua B. Tenenbaum
Fast Variational Inference for Large-scale Internet Diagnosis
Emre Kiciman, David Maltz, John C. Platt
On higher-order perceptron algorithms
Claudio Gentile, Fabio Vitale, Cristian Brotto
The Value of Labeled and Unlabeled Examples when the Model is Imperfect
Kaushik Sinha, Mikhail Belkin
One-Pass Boosting
Zafer Barutcuoglu, Phil Long, Rocco Servedio
Exponential Family Predictive Representations of State
David Wingate, Satinder S. Baveja
An Analysis of Inference with the Universum
Olivier Chapelle, Alekh Agarwal, Fabian H. Sinz et al.
Heterogeneous Component Analysis
Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller et al.
Discriminative K-means for Clustering
Jieping Ye, Zheng Zhao, Mingrui Wu
Optimal models of sound localization by barn owls
Brian J. Fischer
Mining Internet-Scale Software Repositories
Erik Linstead, Paul Rigor, Sushil Bajracharya et al.
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons
Emre Neftci, Elisabetta Chicca, Giacomo Indiveri et al.
Semi-Supervised Multitask Learning
Qiuhua Liu, Xuejun Liao, Lawrence Carin
Multiple-Instance Active Learning
Burr Settles, Mark Craven, Soumya Ray
Combined discriminative and generative articulated pose and non-rigid shape estimation
Leonid Sigal, Alexandru Balan, Michael J. Black
Learning Monotonic Transformations for Classification
Andrew Howard, Tony Jebara
Learning the structure of manifolds using random projections
Yoav Freund, Sanjoy Dasgupta, Mayank Kabra et al.
Topmoumoute Online Natural Gradient Algorithm
Nicolas L. Roux, Pierre-antoine Manzagol, Yoshua Bengio