2683 search results - page 168 / 537 » Machine learning problems from optimization perspective |
114
Voted
ICDM
2006
IEEE
15 years 8 months ago
2006
IEEE
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
125
Voted
GPEM
2008
15 years 2 months ago
2008
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
137
Voted
KAIS
2010
15 years 1 months ago
2010
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
129
Voted
IJAR
2010
15 years 1 months ago
2010
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
113
Voted
ICTAI
2006
IEEE
15 years 8 months ago
2006
IEEE
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...