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AAAI
1996
13 years 11 months ago
A Complexity Analysis of Space-Bounded Learning Algorithms for the Constraint Satisfaction Problem
Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
Roberto J. Bayardo Jr., Daniel P. Miranker
GIS
2008
ACM
13 years 10 months ago
An ACS cooperative learning approach for route finding in natural environment
This paper introduces an ant-based colony system for the representation of a verbal route description. It is grounded on a natural metaphor that mimics the behavior of ant colonie...
David Brosset, Christophe Claramunt, Eric Saux
ESSMAC
2003
Springer
14 years 3 months ago
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Daniel Sbarbaro, Roderick Murray-Smith
TSMC
2010
13 years 4 months ago
Multiobjective Optimization of Temporal Processes
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
Zhe Song, Andrew Kusiak
WEBNET
2000
13 years 11 months ago
New Approaches to Law Education: Making the Case for Web-based Learning
: Web-based instruction and online learning are changing customary practices in education. As conventional patterns for content delivery are influenced by new and improving technol...
Jennifer Gramling, Tom Galligan, Jean A. Derco