267 search results - page 46 / 54 » Convex optimization for the design of learning machines |
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
UPP
2004
Springer
14 years 1 months ago
2004
Springer
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
GECCO
2010
Springer
14 years 19 days ago
2010
Springer
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
AAAI
2008
13 years 10 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...
FLAIRS
2008
13 years 10 months ago
2008
In machine learning, decision trees are employed extensively in solving classification problems. In order to design a decision tree classifier two main phases are employed. The fi...