7015 search results - page 1197 / 1403 » Approximation algorithms for co-clustering |
123
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
148
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
110
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
We study hierarchical classification in the general case when an instance could belong to more than one class node in the underlying taxonomy. Experiments done in previous work sh...
127
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
143
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...