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GPEM
2000
121views more  GPEM 2000»
15 years 6 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
CORR
2007
Springer
135views Education» more  CORR 2007»
15 years 6 months ago
Detailed Network Measurements Using Sparse Graph Counters: The Theory
— Measuring network flow sizes is important for tasks like accounting/billing, network forensics and security. Per-flow accounting is considered hard because it requires that m...
Yi Lu, Andrea Montanari, Balaji Prabhakar
ENTCS
2007
145views more  ENTCS 2007»
15 years 6 months ago
Design, Analysis and Performance Evaluation of Group Key Establishment in Wireless Sensor Networks
Wireless sensor networks are comprised of a vast number of ultra-small autonomous computing, communication and sensing devices, with restricted energy and computing capabilities, ...
Ioannis Chatzigiannakis, Elisavet Konstantinou, Va...
JIRS
2000
118views more  JIRS 2000»
15 years 6 months ago
A Flexible Microrobot-Based Microassembly Station
Abstract. A wide range of microcomponents can today be produced using various microfabrication techniques. The assembly of complex microsystems consisting of several single compone...
Sergej Fatikow, Jörg Seyfried, Stephan Fahlbu...
ML
2000
ACM
244views Machine Learning» more  ML 2000»
15 years 6 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski