97 search results - page 11 / 20 » Herding dynamical weights to learn |
168
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Publication
A large class of systems of biological and technological relevance can be described as analog networks, that is, collections of dynamic devices interconnected by links of varying s...
118
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
114
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits simple, exact inference. We ...
98
Voted
ISNN
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...
158
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BC
2002
15 years 1 months ago
2002
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...