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» PARM: A Genetic Evolved Algorithm To Predict Bioactivity
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JCISD
1998
34views more  JCISD 1998»
13 years 6 months ago
PARM: A Genetic Evolved Algorithm To Predict Bioactivity
Hongming Chen, Jiaju Zhou, Guirong Xie
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
13 years 7 months ago
Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
Greg Paperin
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
14 years 7 days ago
Evolving recurrent models using linear GP
Turing complete Genetic Programming (GP) models introduce the concept of internal state, and therefore have the capacity for identifying interesting temporal properties. Surprisin...
Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywoo...
SGAI
2007
Springer
14 years 25 days ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
14 years 7 days ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...