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JMLR
2006
131views more  JMLR 2006»
13 years 8 months ago
Incremental Support Vector Learning: Analysis, Implementation and Applications
Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
Pavel Laskov, Christian Gehl, Stefan Krüger, ...
INFSOF
2007
81views more  INFSOF 2007»
13 years 8 months ago
An infrastructure to support interoperability in reverse engineering
An infrastructure is a set of interconnected structural elements, such as tools and schemas, that provide a framework for supporting an entire structure. The reverse engineering c...
Nicholas A. Kraft, Brian A. Malloy, James F. Power
TOSEM
2010
95views more  TOSEM 2010»
13 years 7 months ago
Supporting dynamic aspect-oriented features
Nu model provides a higher level of abstraction compared to traditional object-oriented ILs, making it easier to eciently support dynamic AO features. We demonstrate these benets...
Robert Dyer, Hridesh Rajan
ICML
2006
IEEE
14 years 9 months ago
Simpler knowledge-based support vector machines
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
Quoc V. Le, Alex J. Smola, Thomas Gärtner
ICML
2004
IEEE
14 years 9 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...