Applications of Machine Learning - Brossura

Brossura

ISBN 10: 981153358X ISBN 13: 9789811533587

Casa editrice: Springer, 2020

Riassunto

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.

Dettagli dell?edizione

• Editore: Springer
• Data di pubblicazione: 2020
• ISBN 10: 981153358X
• ISBN 13: 9789811533587
• Rilegatura: Paperback
• Lingua: Inglese
• Contatto del produttore: non disponibile