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TSP
2010
15 years 1 months ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...
ICANNGA
2007
Springer
143views Algorithms» more  ICANNGA 2007»
16 years 1 months ago
A Model of Non-elemental Associative Learning in the Mushroom Body Neuropil of the Insect Brain
We developed a computational model of the mushroom body (MB), a prominent region of multimodal integration in the insect brain, and tested the model’s performance for non-element...
Jan Wessnitzer, Barbara Webb, Darren Smith
ECCV
2010
Springer
15 years 9 months ago
Inter-Camera Association of Multi-Target Tracks by On-line Learned Appearance Affinity Models
We propose a novel system for associating multi-target tracks across multiple non-overlapping cameras by an on-line learned discriminative appearance affinity model. Collecting rel...
FOCS
1990
IEEE
15 years 11 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
ICRA
2010
IEEE
104views Robotics» more  ICRA 2010»
15 years 5 months ago
Using model knowledge for learning inverse dynamics
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
Duy Nguyen-Tuong, Jan Peters