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Local-learning-based feature selection for high-dimensional data analysis.
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Efficient model learning methods for actor-critic control.
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A new feature selection scheme using a data distribution factor for unsupervised nominal data.
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Implementing online natural gradient learning: problems and solutions.
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Exploring the Role of Machine Learning in Diagnosing and Treating Speech Disorders: A Systematic Literature Review.
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Time Series Data Prediction and Feature Analysis of Sports Dance Movements Based on Machine Learning.
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Computational approach to modeling microbiome landscapes associated with chronic human disease progression.
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Relevance, redundancy, and complementarity trade-off (RRCT): A principled, generic, robust feature-selection tool.
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A Stroke Risk Detection: Improving Hybrid Feature Selection Method.
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Talk2Me: Automated linguistic data collection for personal assessment.
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An Intelligent Parkinson's Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach.
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本文引用的文献

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Approaches to dimensionality reduction in proteomic biomarker studies.
Brief Bioinform. 2008 Mar;9(2):102-18. doi: 10.1093/bib/bbn005. Epub 2008 Feb 29.
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An overview of statistical learning theory.
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Improved breast cancer prognosis through the combination of clinical and genetic markers.
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Optimally sparse representation in general (nonorthogonal) dictionaries via l minimization.
Proc Natl Acad Sci U S A. 2003 Mar 4;100(5):2197-202. doi: 10.1073/pnas.0437847100. Epub 2003 Feb 21.
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The generalized LASSO.
IEEE Trans Neural Netw. 2004 Jan;15(1):16-28. doi: 10.1109/TNN.2003.809398.
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Gene expression profiling predicts clinical outcome of breast cancer.
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Nonlinear dimensionality reduction by locally linear embedding.
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