000 | 03016nam a22005895i 4500 | ||
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001 | 978-3-319-33383-0 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 160525s2016 sz | s |||| 0|eng d | ||
020 |
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024 | 7 |
_a10.1007/978-3-319-33383-0 _2doi |
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_a006.3 _223 |
100 | 1 |
_aKramer, Oliver. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _956833 |
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245 | 1 | 0 |
_aMachine Learning for Evolution Strategies _h[electronic resource] / _cby Oliver Kramer. |
250 | _a1st ed. 2016. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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300 |
_aIX, 124 p. 38 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aStudies in Big Data, _x2197-6511 ; _v20 |
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505 | 0 | _aPart I Evolution Strategies -- Part II Machine Learning -- Part III Supervised Learning. | |
520 | _aThis book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The set of methods comprises covariance matrix estimation, meta-modeling of fitness and constraint functions, dimensionality reduction for search and visualization of high-dimensional optimization processes, and clustering-based niching. After giving an introduction to evolution strategies and machine learning, the book builds the bridge between both worlds with an algorithmic and experimental perspective. Experiments mostly employ a (1+1)-ES and are implemented in Python using the machine learning library scikit-learn. The examples are conducted on typical benchmark problems illustrating algorithmic concepts and their experimental behavior. The book closes with a discussion of related lines of research. | ||
650 | 0 |
_aComputational intelligence. _97716 |
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650 | 0 |
_aComputer simulation. _95106 |
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_aData mining. _93907 |
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650 | 0 |
_aSystem theory. _93409 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 1 | 4 |
_aComputational Intelligence. _97716 |
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_aComputer Modelling. _956834 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _956835 |
650 | 2 | 4 |
_aComplex Systems. _918136 |
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_aArtificial Intelligence. _93407 |
710 | 2 |
_aSpringerLink (Online service) _956836 |
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773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9783319333816 |
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_iPrinted edition: _z9783319333823 |
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_iPrinted edition: _z9783319815008 |
830 | 0 |
_aStudies in Big Data, _x2197-6511 ; _v20 _956837 |
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