Papers
21,849 papers found
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts
Hariharan Narayanan, Mikhail Belkin, Partha Niyogi
On Transductive Regression
Corinna Cortes, Mehryar Mohri
Optimal Change-Detection and Spiking Neurons
Angela J. Yu
Optimal Single-Class Classification Strategies
Ran El-Yaniv, Mordechai Nisenson
Ordinal Regression by Extended Binary Classification
Ling Li, Hsuan-tien Lin
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.
Parameter Expanded Variational Bayesian Methods
Tommi S. Jaakkola, Yuan Qi
Part-based Probabilistic Point Matching using Equivalence Constraints
Graham Mcneill, Sethu Vijayakumar
Particle Filtering for Nonparametric Bayesian Matrix Factorization
Frank Wood, Thomas L. Griffiths
PG-means: learning the number of clusters in data
Yu Feng, Greg Hamerly
Predicting spike times from subthreshold dynamics of a neuron
Ryota Kobayashi, Shigeru Shinomoto
Prediction on a Graph with a Perceptron
Mark Herbster, Massimiliano Pontil
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension
Manfred K. Warmuth, Dima Kuzmin
Real-time adaptive information-theoretic optimization of neurophysiology experiments
Jeremy Lewi, Robert Butera, Liam Paninski
Recursive Attribute Factoring
David Cohn, Deepak Verma, Karl Pfleger
Recursive ICA
Honghao Shan, Lingyun Zhang, Garrison W. Cottrell
Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach
Matthias Krauledat, Michael Schröder, Benjamin Blankertz et al.
Relational Learning with Gaussian Processes
Wei Chu, Vikas Sindhwani, Zoubin Ghahramani et al.
Robotic Grasping of Novel Objects
Ashutosh Saxena, Justin Driemeyer, Justin Kearns et al.
Sample Complexity of Policy Search with Known Dynamics
Peter L. Bartlett, Ambuj Tewari
Scalable Discriminative Learning for Natural Language Parsing and Translation
Joseph Turian, Benjamin Wellington, I. D. Melamed
Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds
Benjamin I. Rubinstein, Peter L. Bartlett, J. H. Rubinstein
Similarity by Composition
Oren Boiman, Michal Irani
Simplifying Mixture Models through Function Approximation
Kai Zhang, James T. Kwok
Single Channel Speech Separation Using Factorial Dynamics
John R. Hershey, Trausti Kristjansson, Steven Rennie et al.