2363 search results - page 106 / 473 » Learning Algorithms for Domain Adaptation |
199
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
As opposed to traditional supervised learning, multiple-instance learning concerns the problem of classifying a bag of instances, given bags that are labeled by a teacher as being...
157
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ISCAS
2003
IEEE
15 years 11 months ago
2003
IEEE
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
173
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ECAL
2005
Springer
15 years 11 months ago
2005
Springer
We present an example of the dynamical systems approach to learning and adaptation. Our goal is to explore how both control and learning can be embedded into a single dynamical sys...
136
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ICCBR
2005
Springer
15 years 11 months ago
2005
Springer
Abstract. In this paper, we propose an approach to attach semantic annotations to textual cases for their representation. To achieve this goal, a framework that combines machine le...
161
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CEC
2009
IEEE
16 years 1 months ago
2009
IEEE
— Traditional particle swarm optimization (PSO) suffers from the premature convergence problem, which usually results in PSO being trapped in local optima. This paper presents an...