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» On risk: perception and direction
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NIPS
2007
13 years 11 months ago
A Risk Minimization Principle for a Class of Parzen Estimators
This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
ECAL
2001
Springer
14 years 2 months 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...
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 3 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...
TVCG
2008
118views more  TVCG 2008»
13 years 9 months ago
Visual Perception and Mixed-Initiative Interaction for Assisted Visualization Design
This paper describes the integration of perceptual guidelines from human vision with an AI-based mixed-initiative search strategy. The result is a visualization assistant called Vi...
Christopher G. Healey, Sarat Kocherlakota, Vivek R...
ENVSOFT
2007
122views more  ENVSOFT 2007»
13 years 9 months ago
Fuzzy expert systems and GIS for cholera health risk prediction in southern Africa
Cholera (Vibrio cholerae) is endemic in southern Africa and frequently breaks out in epidemics along the eastern seaboard. Extensive resources are directed at combating cholera ye...
Gavin Fleming, Marna van der Merwe, Graeme McFerre...