1683 search results - page 111 / 337 » Learning with Mixtures of Trees |
DSMML
2004
Springer
14 years 2 months ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
ML
2010
ACM
13 years 7 months ago
2010
ACM
Many knowledge representation mechanisms are based on tree-like structures, thus symbolizing the fact that certain pieces of information are related in one sense or another. There ...
IDA
2005
Springer
14 years 2 months ago
2005
Springer
Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...
CG
2006
Springer
13 years 11 months ago
2006
Springer
Temporal difference (TD) learning has been used to learn strong evaluation functions in a variety of two-player games. TD-gammon illustrated how the combination of game tree search...
DIS
2001
Springer
14 years 1 months ago
2001
Springer
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...