3449 search results - page 199 / 690 » A Framework for Multiple-Instance Learning |
132
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ALT
2008
Springer
16 years 16 days ago
2008
Springer
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model con...
117
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ICTAI
2009
IEEE
15 years 10 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
177
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AIHC
2007
Springer
15 years 9 months ago
2007
Springer
Computer models can be used to investigate the role of emotion in learning. Here we present EARL, our framework for the systematic study of the relation between emotion, adaptation...
134
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ICML
2004
IEEE
15 years 9 months ago
2004
IEEE
The paper is concerned with two-class active learning. While the common approach for collecting data in active learning is to select samples close to the classification boundary,...
151
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ECML
2004
Springer
15 years 9 months ago
2004
Springer
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...