Geodesic
Computational complexity of combinatorial optimization problems induced by collective procedures in machine learning
Trudy Instituta matematiki i mehaniki, Trudy Instituta Matematiki i Mekhaniki UrO RAN, Tome 16 (2010) no. 3, pp. 276-284

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The computational complexity of a new class of combinatorial optimization problems that are induced by optimal machine learning procedures in the class of collective piecewise linear classifiers of committee type is studied.
Keywords: empirical risk minimization, committee decision rule, computational complexity. 
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     author = {M. Yu. Khachai},
     title = {Computational complexity of combinatorial optimization problems induced by collective procedures in machine learning},
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     number = {3},
     year = {2010},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/TIMM_2010_16_3_a28/}
}
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M. Yu. Khachai. Computational complexity of combinatorial optimization problems induced by collective procedures in machine learning. Trudy Instituta matematiki i mehaniki, Trudy Instituta Matematiki i Mekhaniki UrO RAN, Tome 16 (2010) no. 3, pp. 276-284. http://geodesic.mathdoc.fr/item/TIMM_2010_16_3_a28/