1686 search results - page 170 / 338 » Machine Learning in Medical Applications |
124
Voted
COLT
1999
Springer
15 years 7 months ago
1999
Springer
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...
156
Voted
ICTAI
2008
IEEE
15 years 10 months ago
2008
IEEE
Ontologies are a well-motivated formal representation to model knowledge needed to extract and encode data from text. Yet, their tight integration with Information Extraction (IE)...
118
Voted
AAAI
2008
15 years 5 months ago
2008
As machine learning (ML) systems emerge in end-user applications, learning algorithms and classifiers will need to be robust to an increasingly unpredictable operating environment...
173
Voted
BMCBI
2007
15 years 3 months ago
2007
Motivation: With more and more research dedicated to literature mining in the biomedical domain, more and more systems are available for people to choose from when building litera...
114
Voted
ICPR
2010
IEEE
15 years 10 months ago
2010
IEEE
—This article proposes a general extension of the Error Correcting Output Codes (ECOC) framework to the online learning scenario. As a result, the final classifier handles the ...