3204 search results - page 307 / 641 » Online Learning with Constraints |
208
click to vote
IJCAI
1997
15 years 8 months ago
1997
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
129
click to vote
AAAI
2007
15 years 9 months ago
2007
The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit sy...
174
click to vote
ICRA
2006
IEEE
16 years 24 days ago
2006
IEEE
This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
147
click to vote
NAACL
2007
15 years 8 months ago
2007
This paper explores what kind of user simulation model is suitable for developing a training corpus for using Markov Decision Processes (MDPs) to automatically learn dialog strate...
155
click to vote
NIPS
2004
15 years 8 months ago
2004
Many interesting multiclass problems can be cast in the general framework of label ranking defined on a given set of classes. The evaluation for such a ranking is generally given ...