509 search results - page 43 / 102 » Using Learning for Approximation in Stochastic Processes |
207
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Predicting the "Value at Risk" of a portfolio of stocks is of great significance in quantitative finance. We introduce a new class models, "dynamical products of ex...
130
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ICA
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. A new dictionary learning method for exact sparse representation is presented in this paper. As the dictionary learning methods often iteratively update the sparse coeffi...
105
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IJCAI
2007
15 years 3 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
129
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CDC
2009
IEEE
15 years 7 months ago
2009
IEEE
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
176
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Lab
Our research is motivated by a strong conviction that business processes in electronic enterprises can be designed to deliver high levels of performance through the use of mathemat...