This volume contains the proceedings of the 6th International Workshop on Soft Computing and Applications (WILF 2005), which ...
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Continue readingThis book and its sister volume, LNAI 3613 and 3614, constitute the proce- ings of the Second International Conference on ...
Continue readingGenetic Programming Theory and Practice V was developed from the fifth workshop at the University of Michigan’s Center ...
Continue readingData Mining the Genomes, is the 23rd volume of the Stadler Symposia series published by Springer, which have served over ...
Continue readingGenomics of Disease is the 24th volume in the Stadler Genetics Symposium series published by Springer, which has, over many ...
Continue readingOptimization models based on a nonlinear systems description often possess multiple local optima. The objective of global ...
Continue readingOptimization models based on a nonlinear systems description often possess multiple local optima. The objective of global ...
Continue readingDuring its 30-year existence, the International Workshop on Graph-Theoretic Concepts in Computer Science has become a distinguished ...
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Continue readingThis comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational ...
Continue readingThis book constitutes the proceedings of the 9th International Conference on Health Information Science, HIS 2020, which ...
Continue readingThis book is the final compendium of case studies emanated from “High-Performance Modelling and Simulation for Big Data ...
Continue readingImmunoinformatics is an emerging subdiscipline of bioinformatics. It utilizes mathematics, information science, computer ...
Continue readingThe 12th International Conference on Implementation and Application of - tomata CIAA 2007 washeld at the Czech Technical ...
Continue readingThis book constitutes the thoroughly refereed post-proceedings of the 16th International Conference on Inductive Logic Programming, ...
Continue readingThis book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. ...
Continue readingOne of the main objectives of this book is to provide comprehensive explanations of the concepts and derivations of the AIC ...
Continue readingThe main theme in this book is to teach modeling based on the principle that the objective is to extract the information ...
Continue readingHybrid Artificial Intelligence Systems (HAIS) combines symbolic and sub-symbolic techniques to construct more robust and ...
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