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FLAIRS
2006
15 years 8 months ago
Using Active Relocation to Aid Reinforcement Learning
We propose a new framework for aiding a reinforcement learner by allowing it to relocate, or move, to a state it selects so as to decrease the number of steps it needs to take in ...
Lilyana Mihalkova, Raymond J. Mooney
LANMR
2004
15 years 8 months ago
Computing Preferred Safe Beliefs
We recently proposed a definition of a language for nonmonotonic reasoning based on intuitionistic logic. Our main idea is a generalization of the notion of answer sets for arbitr...
Luis A. Montiel, Juan A. Navarro
NIPS
2004
15 years 8 months ago
Support Vector Classification with Input Data Uncertainty
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
Jinbo Bi, Tong Zhang
NIPS
2004
15 years 8 months ago
Learning Preferences for Multiclass Problems
Many interesting multiclass problems can be cast in the general framework of label ranking defined on a given set of classes. The evaluation for such a ranking is generally given ...
Fabio Aiolli, Alessandro Sperduti
WSC
2001
15 years 8 months ago
A taxonomy of a living model of the enterprise
A designer has a choice of many models, methods, frameworks, and architectures. There is little consistency between these terms among researchers. Some of the most widely used arc...
Larry Whitman, Kartik Ramachandran, Vikram Ketkar