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GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 1 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
88
Voted
DMSN
2004
ACM
15 years 3 months ago
Region streams: functional macroprogramming for sensor networks
Sensor networks present a number of novel programming challenges for application developers. Their inherent limitations of computational power, communication bandwidth, and energy...
Ryan Newton, Matt Welsh
67
Voted
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 3 months ago
Automated re-invention of six patented optical lens systems using genetic programming
This paper describes how genetic programming was used as an invention machine to automatically synthesize complete designs for six optical lens systems that duplicated the functio...
John R. Koza, Sameer H. Al-Sakran, Lee W. Jones
ICMCS
2006
IEEE
140views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Evolutionary Feature Generation in Speech Emotion Recognition
Feature sets are broadly discussed within speech emotion recognition by acoustic analysis. While popular filter and wrapper based search help to retrieve relevant ones, we feel th...
Björn Schuller, Stephan Reiter, Gerhard Rigol...
RSP
2003
IEEE
149views Control Systems» more  RSP 2003»
15 years 2 months ago
Rapid Scheduling of Efficient VLSI Architectures for Next-Generation HSDPA
In this paper, an efficient design flow integrating Mentor Graphics Precesion C and HDL designer is derived. In this hybrid prototyping environment, efficient FPGA architectures a...
Yuanbin Guo, Gang Xu, Dennis McCain, Joseph R. Cav...