992 search results - page 41 / 199 » Machine Learning Techniques to Make Computers Easier to Use |
NIPS
2008
13 years 10 months ago
2008
We present a mixture model whose components are Restricted Boltzmann Machines (RBMs). This possibility has not been considered before because computing the partition function of a...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
COLING
2010
13 years 4 months ago
2010
This paper presents a novel semisupervised learning algorithm called Active Deep Networks (ADN), to address the semi-supervised sentiment classification problem with active learni...
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
CGI
1999
IEEE
14 years 1 months ago
1999
IEEE
This paper describes a technique to obtain a time dilation or contraction of an audio signal. Different Computer Graphics applications can take advantage of this technique. In rea...