1036 search results - page 35 / 208 » Algorithms for Learning Regular Expressions |
106
click to vote
KDD
2009
ACM
16 years 2 months ago
2009
ACM
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
124
click to vote
CA
2003
IEEE
15 years 7 months ago
2003
IEEE
This paper presents an efficient method of learning motion control for autonomous animated characters. The method uses a non parametric learning approach which identifies non line...
119
click to vote
NIPS
2008
15 years 3 months ago
2008
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
SAS
2001
Springer
15 years 6 months ago
2001
Springer
This paper describes the precise speci cation, design, analysis, implementation, and measurements of an e cient algorithm for solving regular tree grammar based constraints. The p...
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...