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» On learning in agent-centered search
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ICML
2002
IEEE
16 years 7 months ago
Cranking: Combining Rankings Using Conditional Probability Models on Permutations
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...
Guy Lebanon, John D. Lafferty
MCAM
2007
Springer
129views Multimedia» more  MCAM 2007»
16 years 12 days ago
Learning Concepts by Modeling Relationships
Supporting multimedia search has emerged as an important research topic. There are three paradigms on the research spectrum that ranges from the least automatic to the most automat...
Yong Rui, Guo-Jun Qi
AR
2006
64views more  AR 2006»
15 years 6 months ago
Lexicon acquisition based on object-oriented behavior learning
Studies on lexicon acquisition systems are gaining attention in the search for a natural human
Shinya Takamuku, Yasutake Takahashi, Minoru Asada
CEC
2008
IEEE
16 years 22 days ago
Learning what to ignore: Memetic climbing in topology and weight space
— We present the memetic climber, a simple search algorithm that learns topology and weights of neural networks on different time scales. When applied to the problem of learning ...
Julian Togelius, Faustino J. Gomez, Jürgen Sc...
FOCS
1999
IEEE
15 years 10 months ago
Learning Mixtures of Gaussians
Mixtures of Gaussians are among the most fundamental and widely used statistical models. Current techniques for learning such mixtures from data are local search heuristics with w...
Sanjoy Dasgupta