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ECAL
2005
Springer
15 years 5 months ago
The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
J. J. McDowell, Zahra Ansari
HCI
2009
14 years 9 months ago
Methods for Quantifying Emotion-Related Gait Kinematics
Quantitative models of whole body expressive movement can be developed by combining methods form biomechanics, psychology, and statistics. The purpose of this paper was to use moti...
Elizabeth A. Crane, Melissa Gross, Ed Rothman
NN
2004
Springer
102views Neural Networks» more  NN 2004»
15 years 5 months ago
A Quantitative Evaluation of a Bio-inspired Sound Segregation Technique for Two- and Three-Source Mixtures
A sound source separation technique based on a bio-inspired neural network, capable of functioning in more than two-source mixtures, is proposed. Separation results are compared wi...
Ramin Pichevar, Jean Rouat
PCI
2005
Springer
15 years 5 months ago
Tuning Blocked Array Layouts to Exploit Memory Hierarchy in SMT Architectures
Cache misses form a major bottleneck for memory-intensive applications, due to the significant latency of main memory accesses. Loop tiling, in conjunction with other program tran...
Evangelia Athanasaki, Kornilios Kourtis, Nikos Ana...
85
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DSN
2004
IEEE
15 years 3 months ago
Safety Optimization: A Combination of Fault Tree Analysis and Optimization Techniques
Abstract-We present a new form of quantitative safety analysis safety optimization. This method is a combination of fault tree analysis(FTA) and mathematical optimization technique...
Frank Ortmeier, Wolfgang Reif