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» A Theory for Memory-Based Learning
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129
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ALT
2006
Springer
16 years 1 months ago
Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
Hsuan-Tien Lin, Ling Li
ICML
2010
IEEE
15 years 5 months ago
Efficient Selection of Multiple Bandit Arms: Theory and Practice
We consider the general, widely applicable problem of selecting from n real-valued random variables a subset of size m of those with the highest means, based on as few samples as ...
Shivaram Kalyanakrishnan, Peter Stone
142
Voted
ICRA
2008
IEEE
172views Robotics» more  ICRA 2008»
15 years 11 months ago
Robot navigation using a sparse distributed memory
— Despite all the progress that has been made in Robotics and Artificial Intelligence, traditional approaches seem unsuitable to build truly intelligent robots, exhibiting human...
Mendes Mendes, Manuel Marques Crisóstomo, A...
MASCOTS
2010
15 years 6 months ago
Modeling the Run-time Behavior of Transactional Memory
In this paper, we develop a queuing theory based analytical model to evaluate the performance of transactional memory. Based on the statistical characteristics observed on actual e...
Zhengyu He, Bo Hong
139
Voted
WCE
2007
15 years 5 months ago
Modified Memory Convergence with Fuzzy PSO
—Associative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentati...
Subhash Chandra Pandey, P. K. Mishra