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2008, 2nd ed., Oxford biology, ISBN 0198569726, xiii, 553
Adaptation is caused by selection continually winnowing the genetic variation created by mutation. In the last ten years, our knowledge of how selection... 
Evolution (Biology) | Natural selection | evolutionary biology | Sexual selection | Microbiology | Diversity | Artificial selection | Experimental evolution | Mutation | Speciation | Adaptation
Book
2000, Body, commodity, text, ISBN 9780822326014, viii, 227
There are more fertility clinics per capita in Israel than in any other country in the world and Israel has the world's highest per capita rate of in-vitro... 
Law | Law and legislation | Religious aspects | Human reproductive technology | Human reproduction (Jewish law) | Judaism | Social aspects | Jewish influences | Israel
Book
2008, 1st ed., IEEE series on computational intelligence., ISBN 0470229756, Volume 8, 300
The rough and fuzzy set approaches presented here open up many new frontiers for continued research and development Computational Intelligence and Feature... 
Set theory | Artificial intelligence | Mathematical models | Computing and Processing | Computers / Intelligence (AI) & Semantics
eBook
Pattern Recognition, ISSN 0031-3203, 11/2014, Volume 47, Issue 11, pp. 3665 - 3680
Journal Article
2012, ESA SP, ISBN 9789292214227, Volume 1324/1, 1324/2, 1324/3, 3 v.
Book
EVOLUTIONARY COMPUTATION, ISSN 1063-6560, 09/2019, Volume 27, Issue 3, pp. 377 - 402
Lexicase selection is a parent selection method that considers training cases individually, rather than in aggregate, when performing parent selection. Whereas... 
genetic programming | PARETO | symbolic regression | Selection | ALGORITHM | COMPUTER SCIENCE, THEORY & METHODS | multi-objective optimization | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 2010, Volume 31, Issue 14, pp. 2225 - 2236
This paper proposes, focusing on random forests, the increasingly used statistical method for classification and regression problems introduced by Leo Breiman... 
Regression | High dimensional data | Variable importance | Random forests | Classification | Variable selection | LINEAR-REGRESSION | GENE SELECTION | CANCER | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Usage | Analysis | Forests and forestry | Statistics | Statistics Theory | Mathematics
Journal Article
Journal Article
2016, ISBN 9783319340173
This book presents a comprehensive, structured, up-to-date survey on instruction selection. The survey is structured according to two dimensions: approaches to... 
Computer science | Algorithms | Data structures (Computer science) | Artificial intelligence | Software engineering
Web Resource
2016, ISBN 9783319340173
This book presents a comprehensive, structured, up-to-date survey on instruction selection. The survey is structured according to two dimensions: approaches to... 
Computer science | Algorithms | Data structures (Computer science) | Artificial intelligence | Software engineering
Web Resource
Journal of Machine Learning Research, ISSN 1532-4435, 05/2012, Volume 13, pp. 1393 - 1434
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 04/2010, Volume 11, pp. 1491 - 1516
Identifying a subset of features that preserves classification accuracy is a problem of growing importance, because of the increasing size and dimensionality... 
High-dimensional data | Nyström method | Feature selection | Quadratic programming | Large data set | Nystrom method | high-dimensional data | large data set | quadratic programming | feature selection | REAL-TIME CLASSIFICATION | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article