1036 search results - page 55 / 208 » Algorithms for Learning Regular Expressions |
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
We show how nonlinear embedding algorithms popular for use with shallow semisupervised learning techniques such as kernel methods can be applied to deep multilayer architectures, ...
171
Voted
CORR
2004
Springer
15 years 1 months ago
2004
Springer
We introduce regular graph constraints and explore their decidability properties. The motivation for regular graph constraints is 1) type checking of changing types of objects in ...
119
click to vote
JMLR
2006
15 years 1 months ago
2006
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
105
Voted
IJCNN
2007
IEEE
15 years 8 months ago
2007
IEEE
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...
119
click to vote
COLT
2007
Springer
15 years 8 months ago
2007
Springer
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...