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1. |
Record Nr. |
UNINA9910702585203321 |
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Titolo |
Code of fair competition for the petroleum industry as submitted to the Administrator and approved by President Roosevelt on August 19, 1933 |
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Pubbl/distr/stampa |
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Washington : , : United States Government Printing Office, , 1933 |
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Descrizione fisica |
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1 online resource (25 pages) |
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Soggetti |
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Petroleum industry and trade - United States |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from title screen (viewed July 31, 2014). |
At head of title: National Recovery Administration. |
"Registry No. 711-1-21." |
Publication pre-dates item numbers. No item number has been assigned. |
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2. |
Record Nr. |
UNINA9910373901603321 |
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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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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (X, 195 p. 115 illus., 69 illus. in color.) |
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Collana |
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Studies in Computational Intelligence, , 1860-9503 ; ; 870 |
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Disciplina |
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Soggetti |
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Engineering mathematics |
Engineering - Data processing |
Machine learning |
Computer vision |
Natural language processing (Computer science) |
Signal processing |
Mathematical and Computational Engineering Applications |
Machine Learning |
Computer Vision |
Natural Language Processing (NLP) |
Signal, Speech and Image Processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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: ACombined 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. |
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Sommario/riassunto |
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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. . |
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