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IDEAL
2000
Springer
15 years 1 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
14 years 8 months ago
Generalized model learning for Reinforcement Learning on a humanoid robot
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
Todd Hester, Michael Quinlan, Peter Stone
EACL
1993
ACL Anthology
14 years 11 months ago
LFG Semantics via Constraints
Semantic theories of natural language associate meanings with utterances by providing meanings for lexical items and rules for determining the meaning of larger units given the me...
Mary Dalrymple, John Lamping, Vijay A. Saraswat
IADIS
2004
14 years 11 months ago
Web Page Usability Analysis Based on Vague Perceptual Concepts
Automated Web usability analysis aims at obtaining a figure of the overall usability of a Web page or site by comparing objective page measures or indicators with statistical prof...
David Palomar, Miguel-Ángel Sicilia
SUTC
2006
IEEE
15 years 3 months ago
Schedules with Minimized Access Latency for Disseminating Dependent Information on Multiple Channels
In wireless mobile environments, data broadcasting is an effective approach to disseminate information to mobile clients. In some applications, the access pattern of all the data...
Kun-Feng Lin, Chuan-Ming Liu