5302 search results - page 98 / 1061 » Learning How to Separate |
137
Voted
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
This paper is concerned with the question of how to online combine an ensemble of active learners so as to expedite the learning progress during a pool-based active learning sessi...
149
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ICML
1996
IEEE
16 years 4 months ago
1996
IEEE
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
146
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
In this paper we present a method for learning classspecific
features for recognition. Recently a greedy layerwise
procedure was proposed to initialize weights of deep
belief ne...
144
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JMLR
2012
13 years 5 months ago
2012
We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model th...
125
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...