Dimensionality Reduction Machine Learning (35 results)
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Paperback or Softback. Condition: New. Machine Learning Techniques for Text: Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluatio. Book.
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Published by Chapman and Hall/Crc, Boca Raton, Florida, 2014
Series: Book 12 of 15 - Chapman & Hall/Crc Machine Learning & Pattern Recognition
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Taschenbuch. Condition: Neu. Machine Learning Approach | For dimensionality reduction of microarray data | Namita Srivastava (u. a.) | Taschenbuch | 152 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200568434 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[a…t]bod[dot]de | Anbieter: preigu.
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Published by Elsevier Science & Technology, San Francisco, 2025
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Published by Elsevier Science & Technology, San Francisco, 2025
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - For past several years, microarray technology has attracted tremendous interest for both scientific community and industry. Recently, the applications of microarrays include gene discovery, disease diagnosis and prognosis, drug discovery…, etc. High dimensional data with small sample size is the main problem that generate the application of dimension reduction in microarray data analysis. It is seen that SVM, ANN and NB have recently gained wide popularity for cancer classification problems. An efficient and reliable method of dimension reduction plays an important role to improve the performance of SVM, ANN and NB, when applied for classification of high dimensional microarray data. In this book, we applied different combinations of feature selection / extraction methods, as a novel hybrid dimension reduction method for SVM, ANN and NB classifiers. The obtained results are compared with other popular published dimension reduction methods for SVM, NB and ANN classifiers.
