779 search results - page 67 / 156 » Information-theoretic Competitive Learning |
139
Voted
ECAI
2010
Springer
15 years 4 months ago
2010
Springer
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
141
Voted
CORR
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
165
Voted
ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
194
Voted
JMLR
2010
14 years 10 months ago
2010
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
148
Voted
JMLR
2012
13 years 6 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...