24 search results - page 3 / 5 » Towards a theory of incentives in machine learning |
ICML
1996
IEEE
14 years 9 months ago
1996
IEEE
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
COLT
2010
Springer
13 years 6 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
PROCEDIA
2010
13 years 7 months ago
2010
When solving machine learning problems, there is currently little automated support for easily experimenting with alternative statistical models or solution strategies. This is be...
ICML
2002
IEEE
14 years 9 months ago
2002
IEEE
Previous discretization techniques have discretized numeric attributes into disjoint intervals. We argue that this is neither necessary nor appropriate for naive-Bayes classifiers...
Publication
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...