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» Probabilistic Explanation Based Learning
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CVPR
2007
IEEE
16 years 4 months ago
Unsupervised Activity Perception by Hierarchical Bayesian Models
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
Xiaogang Wang, Xiaoxu Ma, Eric Grimson
IJCAI
2007
15 years 3 months ago
Transferring Learned Control-Knowledge between Planners
As any other problem solving task that employs search, AI Planning needs heuristics to efficiently guide the problem-space exploration. Machine learning (ML) provides several tec...
Susana Fernández, Ricardo Aler, Daniel Borr...
DIMVA
2008
15 years 3 months ago
Learning and Classification of Malware Behavior
Malicious software in form of Internet worms, computer viruses, and Trojan horses poses a major threat to the security of networked systems. The diversity and amount of its variant...
Konrad Rieck, Thorsten Holz, Carsten Willems, Patr...
112
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WSC
2000
15 years 3 months ago
Simply Simulation: an interactive CD-ROM-based approach for learning simulation concepts
The purpose of this paper is to introduce a new approach to teaching an introductory simulation course using an interactive CD-ROM titled "Simply Simulation". This metho...
Connie Nott, Graham Nott, C. Christopher Lee
AAAI
1996
15 years 3 months ago
A Connectionist Framework for Reasoning: Reasoning with Examples
We present a connectionist architecture that supports almost instantaneous deductive and abductive reasoning. The deduction algorithm responds in few steps for single rule queries...
Dan Roth