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» The Localization Hypothesis and Machines
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132
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ML
1998
ACM
220views Machine Learning» more  ML 1998»
15 years 22 days ago
Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments
Abstract. Coordination is an essential technique in cooperative, distributed multiagent systems. However, sophisticated coordination strategies are not always cost-effective in all...
Toshiharu Sugawara, Victor R. Lesser
123
Voted
COLT
2010
Springer
14 years 11 months ago
Deterministic Sparse Fourier Approximation via Fooling Arithmetic Progressions
A significant Fourier transform (SFT) algorithm, given a threshold and oracle access to a function f, outputs (the frequencies and approximate values of) all the -significant Fou...
Adi Akavia
129
Voted
ICMLA
2009
14 years 10 months ago
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapu...
122
Voted
HPCA
1997
IEEE
15 years 5 months ago
Global Address Space, Non-Uniform Bandwidth: A Memory System Performance Characterization of Parallel Systems
Many parallel systems offer a simple view of memory: all storage cells are addresseduniformly. Despite a uniform view of the memory, the machines differsignificantly in theirmemo...
Thomas Stricker, Thomas R. Gross
ICCV
2009
IEEE
1184views Computer Vision» more  ICCV 2009»
16 years 6 months ago
Learning Based Digital Matting
We cast some new insights into solving the digital matting problem by treating it as a semi-supervised learning task in machine learning. A local learning based approach and a g...
Yuanjie Zheng, Chandra Kambhamettu