2898 search results - page 228 / 580 » Ensemble Methods in Machine Learning |
ICDM
2009
IEEE
13 years 6 months ago
2009
IEEE
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
GECCO
2006
Springer
13 years 12 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
A key ingredient in the design of visual object classification
systems is the identification of relevant class specific
aspects while being robust to intra-class variations. Whil...
ICML
2002
IEEE
14 years 9 months ago
2002
IEEE
In many reinforcement learning applications, the set of possible actions can be partitioned by the programmer into subsets of similar actions. This paper presents a technique for ...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...