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CCR
2008
101views more  CCR 2008»
15 years 6 months ago
Empirical evaluation of hash functions for multipoint measurements
A broad spectrum of network measurement applications demand passive multipoint measurements in which data from multiple observation points has to be correlated. Examples are the p...
Christian Henke, Carsten Schmoll, Tanja Zseby
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 10 months ago
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
Garnett Carl Wilson, Malcolm I. Heywood
ICML
1998
IEEE
16 years 7 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
FLAIRS
2008
15 years 9 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
ARC
2009
Springer
102views Hardware» more  ARC 2009»
16 years 1 months ago
A Parallel Branching Program Machine for Emulation of Sequential Circuits
The parallel branching program machine (PBM128) consists of 128 branching program machines (BMs) and a programmable interconnection. To represent logic functions on BMs, we use qua...
Hiroki Nakahara, Tsutomu Sasao, Munehiro Matsuura,...