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Titlebook: Neural Information Processing; 13th International C Irwin King,Jun Wang,DeLiang Wang Conference proceedings 2006 Springer-Verlag Berlin Hei

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發(fā)表于 2025-3-28 17:43:02 | 只看該作者
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發(fā)表于 2025-3-29 03:27:17 | 只看該作者
An Empirical Analysis of Under-Sampling Techniques to Balance a Protein Structural Class Datasett common are based either on under or over sampling of the original dataset. In this work, we evaluate several methods of under-sampling, such as Tomek Links, with the goal of improving the performance of the classifiers generated by different ML algorithms (decision trees, support vector machines,
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發(fā)表于 2025-3-29 07:48:39 | 只看該作者
Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining interaction prediction method. We adopted neural network to cluster protein interaction data, and used information theory based feature selection method to reduce protein feature dimension. After model training, feature association rules are generated to interaction prediction by decoding a set of
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發(fā)表于 2025-3-29 11:28:33 | 只看該作者
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發(fā)表于 2025-3-29 18:16:04 | 只看該作者
Clustering Analysis for Bacillus Genus Using Fourier Transform and Self-Organizing Mapg microorganisms. In this study, we adopted a method that can convert DNA sequences of microorganisms into numerical form then applied Fourier transform to the numerical DNA sequences in order to investigate the distributions of nucleotides. Also, a visualization scheme for transformed DNA sequences
48#
發(fā)表于 2025-3-29 22:37:57 | 只看該作者
Recurrence Quantification Analysis of EEG Predicts Responses to Incision During Anesthesia method is still not found. This paper presents a new approach to detect depth of anaesthesia by using recurrence quantification analysis of electroencephalogram (EEG) and artificial neural network(ANN). The EEG recordings were collected from consenting patient prior to incision during isoflurane an
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發(fā)表于 2025-3-30 02:31:23 | 只看該作者
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發(fā)表于 2025-3-30 05:13:33 | 只看該作者
The Study of Classification of Motor Imaginaries Based on Kurtosis of EEGleft or right hand movement. The kurtosis of EEG and its dynamic properties with respect to time are analyzed. The experiment results show that the kurtosis can reflect the EEG pattern changes of different motor imageries. According to the analysis and experiment results, a kurtosis based classifier
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