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SDM
2007
SIAM
104views Data Mining» more  SDM 2007»
15 years 8 months ago
Boosting Optimal Logical Patterns Using Noisy Data
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
Noam Goldberg, Chung-chieh Shan
AAAI
2006
15 years 8 months ago
Computing Slater Rankings Using Similarities among Candidates
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One important voting rule is the Slater rule. It selects a ranking of the alte...
Vincent Conitzer
AAAI
2006
15 years 8 months ago
Collective Construction Using Lego Robots
hibition: Extended Abstract Social insects, such as ants and termites, collectively build large and complex structures, with many individuals following simple rules and no centrali...
Crystal Schuil, Matthew Valente, Justin Werfel, Ra...
AAAI
1998
15 years 8 months ago
Fast Probabilistic Modeling for Combinatorial Optimization
Probabilistic models have recently been utilized for the optimization of large combinatorial search problems. However, complex probabilistic models that attempt to capture interpa...
Shumeet Baluja, Scott Davies
AAAI
1996
15 years 8 months ago
Improved Limited Discrepancy Search
We present an improvement to Harvey and Ginsberg's limited discrepancy search algorithm, which eliminates much of the redundancy in the original, by generating each path from...
Richard E. Korf
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