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Applications of Machine Learning ISBN 13: 9789811533587

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9789811533587: Applications of Machine Learning

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Sinopsis

Statistical Learning Process for the Reduction of Sample Collection Assuring a Desired Level of Confidence.- Sentiment Analysis on Google Play Store Data using Deep Learning.- Managing the Data Meaning in the Data Stream Processing: A Systematic Literature Mapping.- Tracking an Object using Traditional MS (Mean Shift) and CBWH MS (Mean Shift) Algorithm with Kalman Filter.- Transfer Learning and Domain Adaptation for Named Entity Recognition.- Knowledge Graph from Informal Text: Architecture, Components, Algorithms and Applications.- Neighborhood-based Collaborative Recommendations: An Introduction.- Classification of Arabic Texts Using Singular Value Decomposition and Fuzzy C-Means Algorithms.- Echo State Network Based Nonlinear Channel Equalization in Wireless Communication System.- Melody Extraction from Music: A Comprehensive Study.- Comparative Analysis of Combined Gas Turbine-Steam Turbine Power Cycle Performance by Using Entropy Generation and Statistical Methodology.- Data Mining - A Tool for Handling Huge Voluminous Data.- Improved Training Pattern in Back Propagation Neural Networks Using Holt-Winters' Seasonal Method and Gradient Boosting Model.- Ensemble of Multi-headed Machine Learning Architectures for Time-series Forecasting of Healthcare Expenditures.- Applying Soft Computing Approaches To Investigate Software Fault Proneness in Agile Software Development Environment.

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  • EditorialSpringer
  • Año de publicación2020
  • ISBN 10 981153358X
  • ISBN 13 9789811533587
  • EncuadernaciónPaperback
  • IdiomaInglés
  • Contacto del fabricanteno disponible

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Otras ediciones populares con el mismo título

9789811533563: Applications of Machine Learning (Algorithms for Intelligent Systems)

Edición Destacada

ISBN 10:  9811533563 ISBN 13:  9789811533563
Editorial: Springer, 2020
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