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» Online Experiments: Lessons Learned
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SAC
2005
ACM
14 years 2 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
ICPR
2008
IEEE
14 years 3 months ago
Signature verification based on fusion of on-line and off-line kernels
The problem of signature verification is considered within the bounds of the kernel-based methodology of pattern recognition, more specifically, SVM principle of machine learning....
Vadim Mottl, Mikhail Lange, Valentina Sulimova, Al...
COLT
2003
Springer
14 years 2 months ago
Internal Regret in On-Line Portfolio Selection
This paper extends the game-theoretic notion of internal regret to the case of on-line potfolio selection problems. New sequential investment strategies are designed to minimize th...
Gilles Stoltz, Gábor Lugosi
SIGSOFT
2005
ACM
14 years 9 months ago
The story of moose: an agile reengineering environment
Moose is a language-independent environment for reverseand re-engineering complex software systems. Moose provides a set of services including a common meta-model, metrics evaluat...
Oscar Nierstrasz, Stéphane Ducasse, Tudor G...
ACSAC
2005
IEEE
14 years 2 months ago
Generating Policies for Defense in Depth
Coordinating multiple overlapping defense mechat differing levels of abstraction, is fraught with the potential for misconfiguration, so there is strong motivation to generate p...
Paul Rubel, Michael Ihde, Steven Harp, Charles Pay...