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» Using Gaussian Processes to Optimize Expensive Functions
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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 5 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
TMC
2011
261views more  TMC 2011»
13 years 5 months ago
Breath: An Adaptive Protocol for Industrial Control Applications Using Wireless Sensor Networks
—An energy-efficient, reliable and timely data transmission is essential for wireless sensor networks (WSNs) employed in scenarios where plant information must be available for ...
Pan Gun Park, Carlo Fischione, Alvise Bonivento, K...
DAC
2000
ACM
14 years 11 months ago
Fingerprinting intellectual property using constraint-addition
Recently, intellectual property protection (IPP) techniques attracted a great deal of attention from semiconductor, system integration and software companies. A number of watermar...
Gang Qu, Miodrag Potkonjak
PAMI
1998
141views more  PAMI 1998»
13 years 10 months ago
A Probabilistic Approach to the Coupled Reconstruction and Restoration of Underwater Acoustic Images
—This paper describes a probabilistic technique for the coupled reconstruction and restoration of underwater acoustic images. The technique is founded on the physics of the image...
Vittorio Murino, Andrea Trucco, Carlo S. Regazzoni
EUROGP
2001
Springer
124views Optimization» more  EUROGP 2001»
14 years 3 months ago
An Evolutionary Approach to Automatic Generation of VHDL Code for Low-Power Digital Filters
An evolutionary algorithm is used to design a finite impulse response digital filter with reduced power consumption. The proposed design approach combines genetic optimization an...
Massimiliano Erba, Roberto Rossi, Valentino Libera...