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» Acquiring evolvability through adaptive representations
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TVCG
1998
125views more  TVCG 1998»
13 years 9 months ago
Structure-Significant Representation of Structured Datasets
—Numerical simulation of physical phenomena is now an accepted way of scientific inquiry. However, the field is still evolving, with a profusion of new solution and grid-generati...
Raghu Machiraju, Zhifan Zhu, Bryan Fry, Robert J. ...
ICASSP
2010
IEEE
13 years 10 months ago
Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
William K. Coulter, Cristopher J. Hillar, Guy Isle...
LWA
2007
13 years 11 months ago
Towards Learning User-Adaptive State Models in a Conversational Recommender System
Typical conversational recommender systems support interactive strategies that are hard-coded in advance and followed rigidly during a recommendation session. In fact, Reinforceme...
Tariq Mahmood, Francesco Ricci
E4MAS
2005
Springer
14 years 3 months ago
An Environment-Based Methodology to Design Reactive Multi-agent Systems for Problem Solving
Abstract. Even if the multi-agent paradigm has been evolving for fifteen years, the development of concrete methods for problem solving remains a major challenge. This paper focus...
Olivier Simonin, Franck Gechter
VIS
2009
IEEE
205views Visualization» more  VIS 2009»
14 years 11 months ago
Time and Streak Surfaces for Flow Visualization in Large Time-Varying Data Sets
Time and streak surfaces are ideal tools to illustrate time-varying vector fields since they directly appeal to the intuition about coherently moving particles. However, efficient ...
Hari Krishnan, Christoph Garth, Kenneth I. Joy