591 search results - page 7 / 119 » Learning and optimization using the clonal selection princip... |
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
ECML
2003
Springer
15 years 2 months ago
2003
Springer
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
EUSFLAT
2007
14 years 11 months ago
2007
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
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SDM
2012
SIAM
12 years 12 months ago
2012
SIAM
: Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...