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132
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
We formalize the associative bandit problem framework introduced by Kaelbling as a learning-theory problem. The learning environment is modeled as a k-armed bandit where arm payof...
165
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ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
160
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COLING
2010
2010
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine
14 years 11 months ago
Due to the lack of annotated data sets, there are few studies on machine learning based approaches to extract named entities (NEs) in clinical text. The 2009 i2b2 NLP challenge is...
175
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CORR
2010
Springer
15 years 1 months ago
2010
Springer
This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...
141
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NIPS
2001
15 years 6 months ago
2001
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...