1062 search results - page 163 / 213 » Sublinear Optimization for Machine Learning |
AAAI
2008
13 years 11 months ago
2008
We consider the following setting: a decision maker must make a decision based on reported data points with binary labels. Subsets of data points are controlled by different selfi...
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...
GECCO
2003
Springer
14 years 2 months ago
2003
Springer
Abstract. When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulation...
GECCO
2006
Springer
14 years 20 days ago
2006
Springer
Action set selection in Markov Decision Processes (MDPs) is an area of research that has received little attention. On the other hand, the set of actions available to an MDP agent...
AAAI
2006
13 years 10 months ago
2006
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...