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CVPR
2009
IEEE
16 years 9 months ago
An Instance Selection Approach to Multiple Instance Learning
Multiple-instance Learning (MIL) is a new paradigm of supervised learning that deals with the classification of bags. Each bag is presented as a collection of instances from whi...
Zhouyu Fu (Australian National University), Antoni...
TSE
2008
91views more  TSE 2008»
15 years 2 months ago
Privately Finding Specifications
Buggy software is a reality and automated techniques for discovering bugs are highly desirable. A specification describes the correct behavior of a program. For example, a file mus...
Westley Weimer, Nina Mishra
NSPW
2006
ACM
15 years 8 months ago
Dark application communities
In considering new security paradigms, it is often worthwhile to anticipate the direction and nature of future attack paradigms. We identify a class of attacks based on the idea o...
Michael E. Locasto, Angelos Stavrou, Angelos D. Ke...
JIRS
2000
144views more  JIRS 2000»
15 years 2 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
15 years 8 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...