单调性
发表于 2025-4-1 02:37:31
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场所
发表于 2025-4-1 10:01:27
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Torrid
发表于 2025-4-1 12:07:49
Building Ensembles of Neural Networks with Class-Switchingon of the training data. The perturbation consists in switching the class labels of a subset of training examples selected at random. Experiments on several UCI and synthetic datasets show that these class-switching ensembles can obtain improvements in classification performance over both individual networks and bagging ensembles.
Intractable
发表于 2025-4-1 18:23:57
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花争吵
发表于 2025-4-1 20:37:28
Jan Augustin,Gert Middelhoff,W. Virgil Brown, even fast variable selection methods lead to high computational load. However, spectra are generally smooth and can therefore be accurately approximated by splines. In this paper, we propose to use a B-spline expansion as a pre-processing step before variable selection, in which original variables
愤慨点吧
发表于 2025-4-2 02:38:58
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防水
发表于 2025-4-2 05:17:46
https://doi.org/10.1007/978-3-642-66302-4ancy filter using mutual information between regression and target variables. We introduce permutation tests to find statistically significant relevant and redundant features. Second, a wrapper searches for good candidate feature subsets by taking the regression model into account. The advantage of
和谐
发表于 2025-4-2 08:26:02
Günther Dietze,Hans-Ulrich Häringparameters coming from irrelevant or redundant variables are eliminated. Information theory provides a robust theoretical framework for performing input variable selection thanks to the concept of mutual information. Nevertheless, for continuous variables, it is usually a more difficult task to dete
舰旗
发表于 2025-4-2 12:29:01
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V洗浴
发表于 2025-4-2 16:37:16
Molecular Biology Intelligence Unitic plasticity and changes in the network structure. Event driven computation optimizes processing speed in order to simulate networks with large number of neurons. The training procedure is applied to the face recognition task. Preliminary experiments on a public available face image dataset show th