4255 search results - page 420 / 851 » On Learning Boolean Functions |
208
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IJCAI
1997
15 years 8 months ago
1997
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
241
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TNN
2010
15 years 2 months ago
2010
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
219
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CORR
2012
Springer
14 years 3 months ago
2012
Springer
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
216
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JMLR
2012
13 years 10 months ago
2012
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
308
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Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...