7150 search results - page 1111 / 1430 » An Approximation Algorithm for Approximation Rank |
185
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DAC
2009
ACM
16 years 7 months ago
2009
ACM
The short time-to-market window for embedded systems demands automation of design methodologies for customizable processors. Recent research advances in this direction have mostly...
171
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DAC
2003
ACM
16 years 7 months ago
2003
ACM
The use of Support Vector Machines (SVMs) to represent the performance space of analog circuits is explored. In abstract terms, an analog circuit maps a set of input design parame...
192
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
157
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
183
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ICML
1999
IEEE
16 years 7 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...