1106 search results - page 99 / 222 » On regularization algorithms in learning theory |
146
click to vote
IDA
2010
Springer
15 years 3 months ago
2010
Springer
We propose a clustering algorithm that effectively utilizes feature order preferences, which have the form that feature s is more important than feature t. Our clustering formulati...
174
Voted
PAMI
2012
13 years 7 months ago
2012
—It has been shown that the Universum data, which do not belong to either class of the classification problem of interest, may contain useful prior domain knowledge for training...
143
Voted
GD
2006
Springer
15 years 8 months ago
2006
Springer
We consider graph drawing algorithms for learning spaces, a type of st-oriented partial cube derived from an antimatroid and used to model states of knowledge of students. We show...
141
click to vote
HUC
2010
Springer
15 years 3 months ago
2010
Springer
Even though the coordination of kids’ activities is largely successful, the modern dual income family still regularly experiences breakdowns in their practices. Families often r...
140
click to vote
UAI
2003
15 years 6 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...