Papers
Multiple Instance Learning for Computer Aided Diagnosis
Murat Dundar, Balaji Krishnapuram, R. B. Rao et al.
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions
Christian Walder, Olivier Chapelle, Bernhard Schölkopf
Natural Actor-Critic for Road Traffic Optimisation
Silvia Richter, Douglas Aberdeen, Jin Yu
Map-Reduce for Machine Learning on Multicore
Cheng-tao Chu, Sang K. Kim, Yi-an Lin et al.
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space
Wenye Li, Kin-hong Lee, Kwong-sak Leung
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier
Alexandre Lacasse, François Laviolette, Mario Marchand et al.
Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons
Elisabetta Chicca, Giacomo Indiveri, Rodney J. Douglas
Nonnegative Sparse PCA
Ron Zass, Amnon Shashua
Inducing Metric Violations in Human Similarity Judgements
Julian Laub, Klaus-Robert Müller, Felix A. Wichmann et al.
A recipe for optimizing a time-histogram
Hideaki Shimazaki, Shigeru Shinomoto
Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces
Moritz Grosse-wentrup, Klaus Gramann, Martin Buss
Stochastic Relational Models for Discriminative Link Prediction
Kai Yu, Wei Chu, Shipeng Yu et al.
Data Integration for Classification Problems Employing Gaussian Process Priors
Mark Girolami, Mingjun Zhong
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets
Jerónimo Arenas-garcía, Kaare B. Petersen, Lars K. Hansen
iLSTD: Eligibility Traces and Convergence Analysis
Alborz Geramifard, Michael Bowling, Martin Zinkevich et al.
A Small World Threshold for Economic Network Formation
Eyal Even-dar, Michael Kearns
Single Channel Speech Separation Using Factorial Dynamics
John R. Hershey, Trausti Kristjansson, Steven Rennie et al.
Learning annotated hierarchies from relational data
Daniel M. Roy, Charles Kemp, Vikash K. Mansinghka et al.
Comparative Gene Prediction using Conditional Random Fields
Jade P. Vinson, David Decaprio, Matthew D. Pearson et al.
Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis
Amit Gore, Shantanu Chakrabartty
On Transductive Regression
Corinna Cortes, Mehryar Mohri
Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models
Mark Johnson, Thomas L. Griffiths, Sharon Goldwater
Automated Hierarchy Discovery for Planning in Partially Observable Environments
Laurent Charlin, Pascal Poupart, Romy Shioda
Temporal dynamics of information content carried by neurons in the primary visual cortex
Danko Nikolić, Stefan Haeusler, Wolf Singer et al.