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» On the Utility of Inference Mechanisms
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AAAI
1996
13 years 11 months ago
Learning Efficient Rules by Maintaining the Explanation Structure
Many learning systems suffer from the utility problem; that is, that time after learning is greater than time before learning. Discovering how to assure that learned knowledge wil...
Jihie Kim, Paul S. Rosenbloom
ATAL
2008
Springer
13 years 10 months ago
A preliminary result on a representative-based multi-round protocol for multi-issue negotiations
Multi-issue negotiation protocols represent a promising field since most negotiation problems in the real world involve multiple issues. Our work focuses on negotiation with inte...
Katsuhide Fujita, Takayuki Ito, Mark Klein
WWW
2011
ACM
13 years 4 months ago
A demo search engine for products
Most product search engines today build on models of relevance devised for information retrieval. However, the decision mechanism that underlies the process of buying a product is...
Beibei Li, Anindya Ghose, Panagiotis G. Ipeirotis

Book
301views
15 years 7 months ago
Programming in Standard ML
"Standard ML is a type-safe programming language that embodies many innovative ideas in programming language design. It is a statically typed language, with an extensible type...
Robert Harper
ECCV
2000
Springer
14 years 11 months ago
Learning Over Multiple Temporal Scales in Image Databases
Abstract. The ability to learn from user interaction is an important asset for content-based image retrieval (CBIR) systems. Over short times scales, it enables the integration of ...
Nuno Vasconcelos, Andrew Lippman