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112
Voted
ICMLA
2009
15 years 9 days ago
2009
In this work we consider the problem of binary classification where the classifier may abstain instead of classifying each observation, leaving the critical items for human evaluat...
117
Voted
AAAI
2011
14 years 2 months ago
2011
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
162
Voted
ISOLA
2010
Springer
15 years 1 months ago
2010
Springer
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
144
Voted
JAIR
2002
15 years 2 months ago
2002
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
124
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IEAAIE
2010
Springer
15 years 15 days ago
2010
Springer
Abstract. Machine learning methods were successfully applied in recent years for detecting new and unseen computer viruses. The viruses were, however, detected in small virus loade...