排序方式: 共有14条查询结果,搜索用时 15 毫秒
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Ilia Nouretdinov Dmitry Devetyarov Volodya Vovk Brian Burford Stephane Camuzeaux Aleksandra Gentry-Maharaj Ali Tiss Celia Smith Zhiyuan Luo Alexey Chervonenkis Rachel Hallett Mike Waterfield Rainer Cramer John F. Timms Ian Jacobs Usha Menon Alex Gammerman 《Annals of Mathematics and Artificial Intelligence》2015,74(1-2):203-222
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Paolo Toccaceli Ilia Nouretdinov Alexander Gammerman 《Annals of Mathematics and Artificial Intelligence》2017,81(1-2):105-123
The paper presents an application of Conformal Predictors to a chemoinformatics problem of predicting the biological activities of chemical compounds. The paper addresses some specific challenges in this domain: a large number of compounds (training examples), high-dimensionality of feature space, sparseness and a strong class imbalance. A variant of conformal predictors called Inductive Mondrian Conformal Predictor is applied to deal with these challenges. Results are presented for several non-conformity measures extracted from underlying algorithms and different kernels. A number of performance measures are used in order to demonstrate the flexibility of Inductive Mondrian Conformal Predictors in dealing with such a complex set of data. This approach allowed us to identify the most likely active compounds for a given biological target and present them in a ranking order. 相似文献
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Vladimir Vovk Ilia Nouretdinov Valentina Fedorova Ivan Petej Alex Gammerman 《Annals of Mathematics and Artificial Intelligence》2017,81(1-2):21-46
We study optimal conformity measures for various criteria of efficiency of set-valued classification in an idealised setting. This leads to an important class of criteria of efficiency that we call probabilistic and argue for; it turns out that the most standard criteria of efficiency used in literature on conformal prediction are not probabilistic unless the problem of classification is binary. We consider both unconditional and label-conditional conformal prediction. 相似文献
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Kolmogorov Complexity: Sources, Theory and Applications 总被引:2,自引:0,他引:2
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