1895 search results - page 206 / 379 » Function learning from interpolation |
75
Voted
COLT
2008
Springer
14 years 12 months ago
2008
Springer
We define a model of learning probabilistic acyclic circuits using value injection queries, in which an arbitrary subset of wires is set to fixed values, and the value on the sing...
91
Voted
CORR
2006
Springer
14 years 10 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
IJAR
2007
14 years 10 months ago
2007
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
PR
2010
14 years 8 months ago
2010
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
78
Voted
SAGT
2010
Springer
14 years 8 months ago
2010
Springer
Can learning algorithms find a Nash equilibrium? This is a natural question for several reasons. Learning algorithms resemble the behavior of players in many naturally arising gam...