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BMCBI
2006
127views more  BMCBI 2006»
13 years 9 months ago
Automatic discovery of cross-family sequence features associated with protein function
Background: Methods for predicting protein function directly from amino acid sequences are useful tools in the study of uncharacterised protein families and in comparative genomic...
Markus Brameier, Josien Haan, Andrea Krings, Rober...
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
14 years 2 months ago
Genetic programming: parametric analysis of structure altering mutation techniques
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
Alan Piszcz, Terence Soule
ICPR
2008
IEEE
14 years 10 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
GECCO
2008
Springer
192views Optimization» more  GECCO 2008»
13 years 10 months ago
Non-linear factor model for asset selection using multi objective genetic programming
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
Ghada Hassan
ISCAS
2006
IEEE
119views Hardware» more  ISCAS 2006»
14 years 2 months ago
Finite state machine state assignment for area and power minimization
— In this paper, we address the problem of FSM state assignment to minimize area and power. The objectives are targeted as single/independent as well as multi-objective optimizat...
Aiman H. El-Maleh, Sadiq M. Sait, F. Nawaz Khan