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203
Voted
Book
"Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continu...
111
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...
97
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
94
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
There is a range of potential applications of Machine Learning where it would be more useful to predict the probability distribution for a variable rather than simply the most lik...
76
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...