Geodesic
An~Adaptive Search Method for a~Logical Solving Function
Sibirskij žurnal industrialʹnoj matematiki, Tome 12 (2009) no. 3, pp. 66-74

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A method is proposed for seeking the optimal logical solving function in the problems of data analysis, which is a modification of adaptive random search. The method uses a metric in the space of logical solving functions and seeks solutions in accordance with an adaptable probability measure.
Keywords: pattern recognition, machine learning, solution trees, global extremum search, optimization, adaptive random search, genetic algorithms. 
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     author = {G. S. Lbov and V. M. Nedel'ko and S. V. Nedel'ko},
     title = {An~Adaptive {Search} {Method} for {a~Logical} {Solving} {Function}},
     journal = {Sibirskij \v{z}urnal industrialʹnoj matematiki},
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     publisher = {mathdoc},
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     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/SJIM_2009_12_3_a6/}
}
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G. S. Lbov; V. M. Nedel'ko; S. V. Nedel'ko. An~Adaptive Search Method for a~Logical Solving Function. Sibirskij žurnal industrialʹnoj matematiki, Tome 12 (2009) no. 3, pp. 66-74. http://geodesic.mathdoc.fr/item/SJIM_2009_12_3_a6/