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» Acquiring evolvability through adaptive representations
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TVCG
1998
125views more  TVCG 1998»
13 years 5 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 5 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 7 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
13 years 11 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 6 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