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» Information Retrieval and Artificial Intelligence
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FLAIRS
2007
15 years 9 months ago
Learning to Identify Global Bottlenecks in Constraint Satisfaction Search
Using information from failures to guide subsequent search is an important technique for solving combinatorial problems in domains such as boolean satisfiability (SAT) and constr...
Diarmuid Grimes, Richard J. Wallace
ICTAI
2006
IEEE
16 years 21 days ago
MI-Winnow: A New Multiple-Instance Learning Algorithm
We present MI-Winnow, a new multiple-instance learning (MIL) algorithm that provides a new technique to convert MIL data into standard supervised data. In MIL each example is a co...
Sharath R. Cholleti, Sally A. Goldman, Rouhollah R...
ECAI
2004
Springer
16 years 1 days ago
Finding Social Network for Trust Calculation
Trust is a necessary concept to realize the Semantic Web. But how can we build a “Web of Trust”? We first argue that a small “Web of Trust” for each community is very esse...
Yutaka Matsuo, Hironori Tomobe, Kôiti Hasida...
ICAIL
1997
ACM
15 years 11 months ago
Automated Drafting of Self-Explaining Documents
The capacity for self-explanation can makecomputer-drafted documents more credible, assist in the retrieval and adaptation of archival documents, and permit comparison of document...
Karl Branting, James C. Lester, Charles B. Callawa...
FLAIRS
2004
15 years 8 months ago
Adaptive K-Means Clustering
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
Sanjiv K. Bhatia