246 search results - page 15 / 50 » On Optimal Learning Algorithms for Multiplicity Automata |
145
Voted
ACL
1998
15 years 5 months ago
1998
This paper describes a novel method by which a dialogue agent can learn to choose an optimal dialogue strategy. While it is widely agreed that dialogue strategies should be formul...
186
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
The computer aided diagnosis (CAD) problems of detecting
potentially diseased structures from medical images are
typically distinguished by the following challenging characterist...
137
Voted
ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
141
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
147
Voted
CEC
2009
IEEE
15 years 10 months ago
2009
IEEE
— Automatically synthesizing behaviors for robots with articulated bodies poses a number of challenges beyond those encountered when generating behaviors for simpler agents. One ...