421 search results - page 48 / 85 » Reducing Label Complexity by Learning From Bags |
CEC
2010
IEEE
14 years 10 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
81
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CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...
115
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WWW
2010
ACM
14 years 10 months ago
2010
ACM
Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...
74
Voted
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...
ECML
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....