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» A Framework for Multiple-Instance Learning
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CSL
2010
Springer
13 years 8 months ago
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
Blaise Thomson, Steve Young
COGSCI
2010
99views more  COGSCI 2010»
13 years 8 months ago
Learning to Learn Causal Models
Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical B...
Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum
ICALT
2006
IEEE
14 years 1 months ago
Metadata Challenges for Situational Properties of Learning Objects
raction of free-standing metadata describing learning objects is typified by an analytical model which primarily focuses on the encoding of discrete properties pertaining to the ...
Baden Hughes, Roderick A. Farmer
ICML
1990
IEEE
13 years 12 months ago
Average Case Analysis of Conjunctive Learning Algorithms
We present an approach to modeling the average case behavior of learning algorithms. Our motivation is to predict the expected accuracy of learning algorithms as a function of the...
Michael J. Pazzani, Wendy Sarrett
ECTEL
2006
Springer
13 years 11 months ago
Ontological Support for a Theory-Eclectic Approach to Instructional and Learning Design
Enhancement of learning with technology has been accelerating thanks to the advancement of information technology (IT) and the development of IT standards for learning. The purpose...
Yusuke Hayashi, Jacqueline Bourdeau, Riichiro Mizo...