225 search results - page 37 / 45 » On Learning Decision Trees with Large Output Domains |
ICS
2010
Tsinghua U.
14 years 5 months ago
2010
Tsinghua U.
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
NAACL
2001
13 years 9 months ago
2001
Sentence planning is a set of inter-related but distinct tasks, one of which is sentence scoping, i.e. the choice of syntactic structure for elementary speech acts and the decisio...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
CADE
2004
Springer
14 years 8 months ago
2004
Springer
Abstract. Classifying finite algebraic structures has been a major motivation behind much research in pure mathematics. Automated techniques have aided in this process, but this ha...
SETN
2010
Springer
14 years 2 months ago
2010
Springer
In the present work we address the problem of phone duration modeling for the needs of emotional speech synthesis. Specifically, relying on ten well known machine learning techniqu...