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Titolo: |
Algorithms in Machine Learning Paradigms / / edited by Jyotsna Kumar Mandal, Somnath Mukhopadhyay, Paramartha Dutta, Kousik Dasgupta
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Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Edizione: | 1st ed. 2020. |
Descrizione fisica: | 1 online resource (X, 195 p. 115 illus., 69 illus. in color.) |
Disciplina: | 006.31 |
Soggetto topico: | Applied mathematics |
Engineering mathematics | |
Machine learning | |
Optical data processing | |
Natural language processing (Computer science) | |
Signal processing | |
Image processing | |
Speech processing systems | |
Mathematical and Computational Engineering | |
Machine Learning | |
Image Processing and Computer Vision | |
Natural Language Processing (NLP) | |
Signal, Image and Speech Processing | |
Persona (resp. second.): | MandalJyotsna Kumar |
MukhopadhyaySomnath <1983-, > | |
DuttaParamartha | |
DasguptaKousik | |
Nota di contenuto: | Chapter 1. Development of Trapezoidal Hesitant-Intuitionistic Fuzzy Prioritized Operators based on Einstein Operations with their Application to Multi-Criteria Group Decision Making -- Chapter 2. Graph-based Information-Theoretic Approach for Unsupervised Feature Selection -- Chapter 3. Fact based Expert System for supplier selection with ERP data -- Chapter 4. Handling Seasonal Pattern and Prediction using Fuzzy Time Series Model -- Chapter 5. Automatic Classification of Fruits and Vegetables: A Texture-based Approach -- Chapter 6. Deep Learning based Early Sign Detection Model for Proliferative Diabetic Retinopathy in Neovascularization at the Disc -- Chapter 7. A Linear Regression Based Resource Utilization Prediction Policy For Live Migration in Cloud Computing -- Chapter 8. Tracking changing human emotions from facial image sequence by landmark triangulation: A incircle-circumcircle duo approach -- Chapter 9. Recognizing Human Emotions from Facial Images by Landmark Triangulation: A Combined Circumcenter-Incenter-Centroid Trio Feature Based Method -- Chapter 10. Stable neighbor nodes prediction with multivariate analysis in mobile ad hoc network using RNN model -- Chapter 11. A New Approach for Optimizing Initial Parameters of Lorenz Attractor and its application in PRNG. |
Sommario/riassunto: | This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning. . |
Titolo autorizzato: | Algorithms in Machine Learning Paradigms ![]() |
ISBN: | 981-15-1041-5 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910373901603321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |