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ICARIS
2009
Springer
16 years 1 months ago
On AIRS and Clonal Selection for Machine Learning
AIRS is an immune-inspired supervised learning algorithm that has been shown to perform competitively on some common datasets. Previous analysis of the algorithm consists almost ex...
Chris McEwan, Emma Hart
GECCO
2004
Springer
16 years 7 days ago
How to Overcome the Equivalent Mutant Problem and Achieve Tailored Selective Mutation Using Co-evolution
The use of Genetic Algorithms in evolution of mutants and test cases offers new possibilities in addressing some of the main problems of mutation testing. Most specifically the p...
Konstantinos Adamopoulos, Mark Harman, Robert M. H...
SGAI
2004
Springer
16 years 6 days ago
Interactive Selection of Visual Features through Reinforcement Learning
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Sébastien Jodogne, Justus H. Piater
AIRS
2008
Springer
15 years 8 months ago
Efficient Feature Selection in the Presence of Outliers and Noises
Although regarded as one of the most successful algorithm to identify predictive features, Relief is quite vulnerable to outliers and noisy features. The recently proposed I-Relief...
Shuang-Hong Yang, Bao-Gang Hu
CONCURRENCY
2008
71views more  CONCURRENCY 2008»
15 years 7 months ago
Gossip-based search selection in hybrid peer-to-peer networks
We present GAB, a search algorithm for hybrid P2P networks, that is, networks that search using both flooding and a DHT. GAB uses a gossip-style algorithm to collect global statis...
M. Zaharia, S. Keshav