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» Extraction of Logical Rules from Neural Networks
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ECAL
2001
Springer
14 years 16 days ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
CIBCB
2005
IEEE
14 years 1 months ago
An Internet-based Melanoma Diagnostic System - Toward the Practical Application
— In this paper, we report a practical application of world’s first internet-based melanoma diagnostic system. The system is now available from all over the world, 24 hours 36...
Hitoshi Iyatomi, Hiroshi Oka, Masahiro Hashimoto, ...
ICTAI
1996
IEEE
14 years 6 days ago
Forward-Tracking: A Technique for Searching Beyond Failure
In many applications, such as decision support, negotiation, planning, scheduling, etc., one needs to express requirements that can only be partially satisfied. In order to expres...
Elena Marchiori, Massimo Marchiori, Joost N. Kok
UAI
2003
13 years 9 months ago
Updating with incomplete observations
Currently, there is renewed interest in the problem, raised by Shafer in 1985, of updating probabilities when observations are incomplete (or setvalued). This is a fundamental pro...
Gert de Cooman, Marco Zaffalon
IWANN
2009
Springer
14 years 2 months ago
Identifying Gene Ontology Areas for Automated Enrichment
Biomedical ontologies provide a commonly accepted scheme for the characterization of biological concepts that enable knowledge sharing and integration. Updating and maintaining an ...
Catia Pesquita, Tiago Grego, Francisco M. Couto