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195
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UPP
2004
Springer
15 years 6 months ago
Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
Thomas Bäck, Ron Breukelaar, Lars Willmes
116
Voted
EURODAC
1994
IEEE
211views VHDL» more  EURODAC 1994»
15 years 4 months ago
Advanced simulation and modeling techniques for hardware quality verification of digital systems
synchronisation also play a fundamental role in overall system robustness. ElectroMagnetic Compatibility (EMC) and ElectroMagnetic Interference (EMI) issues also have to be conside...
S. Forno, Stephen Rochel
120
Voted
AAAI
2006
15 years 2 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
95
Voted
CORR
2006
Springer
109views Education» more  CORR 2006»
15 years 24 days ago
On Conditional Branches in Optimal Decision Trees
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
Michael B. Baer
89
Voted
IJCV
2006
121views more  IJCV 2006»
15 years 22 days ago
Feature-Based Sequence-to-Sequence Matching
This paper studies the problem of matching two unsynchronized video sequences of the same dynamic scene, recorded by different stationary uncalibrated video cameras. The matching i...
Yaron Caspi, Denis Simakov, Michal Irani