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101
Voted
WCE
2007
15 years 2 months ago
2007
Abstract—In this work we present a variational formulation for a multilayer perceptron neural network. With this formulation any learning task for the neural network is defined ...
72
Voted
CORR
2008
Springer
15 years 27 days ago
2008
Springer
Given a probability distribution over a set of n words to be transmitted, the Huffman Coding problem is to find a minimal-cost prefix free code for transmitting those words. The b...
103
Voted
JMLR
2010
14 years 7 months ago
2010
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
93
Voted
AGI
2011
14 years 4 months ago
2011
Abstract. Perfectly rational decision-makers maximize expected utility, but crucially ignore the resource costs incurred when determining optimal actions. Here we employ an axiomat...
88
Voted
ARCS
2005
Springer
15 years 6 months ago
2005
Springer
In this contribution we present a novel general model for adaptive processors with organic features. We describe its basic principle of operation. The adaptive operations that are ...