Synopsis
Random projection is a well-known AI calculation, which can be executed by neural organizations and trained in an effective way. Adaptive Regularize Parameter Selection it will regularize the features which are important and select a most suitable feature for a specific problem. The main goal is to reduce the computational cost of both classification and regression task by using Randomization Algorithm. It provides the best possible result to the high-dimensional optimization. It uses Multi layer neural network for performing linear and non linear function.
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Feature Projections in Machine Learning: Artificial Intelligence
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LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863424
ISBN 13: 9786203863420
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Feature Projections in Machine Learning: Artificial Intelligence
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Feature Projections in Machine Learning
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Random projection is a well-known AI calculation, which can be executed by neural organizations and trained in an effective way. Adaptive Regularize Parameter Selection it will regularize the features which are important and select a most suitable feature for a specific problem. The main goal is to reduce the computational cost of both classification and regression task by using Randomization Algorithm. It provides the best possible result to the high-dimensional optimization. It uses Multi layer neural network for performing linear and non linear function. 96 pp. Englisch. Seller Inventory # 9786203863420
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Feature Projections in Machine Learning: Artificial Intelligence
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Feature Projections in Machine Learning
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Durga Akhil KarakavalasaKarakavalasa Durga Akhil, Did his B.Tech Computer Science and Engineering from Sri Sivani Institute of Technology JNTUK, M.Tech Artificial Intelligence from JNTUA.Very much interested to doing projects in Ar. Seller Inventory # 482183507
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Feature Projections in Machine Learning
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ISBN 10: 6203863424
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Random projection is a well-known AI calculation, which can be executed by neural organizations and trained in an effective way. Adaptive Regularize Parameter Selection it will regularize the features which are important and select a most suitable feature for a specific problem. The main goal is to reduce the computational cost of both classification and regression task by using Randomization Algorithm. It provides the best possible result to the high-dimensional optimization. It uses Multi layer neural network for performing linear and non linear function.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch. Seller Inventory # 9786203863420
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Feature Projections in Machine Learning : Artificial Intelligence
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LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863424
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Random projection is a well-known AI calculation, which can be executed by neural organizations and trained in an effective way. Adaptive Regularize Parameter Selection it will regularize the features which are important and select a most suitable feature for a specific problem. The main goal is to reduce the computational cost of both classification and regression task by using Randomization Algorithm. It provides the best possible result to the high-dimensional optimization. It uses Multi layer neural network for performing linear and non linear function. Seller Inventory # 9786203863420
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Feature Projections in Machine Learning | Artificial Intelligence
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Taschenbuch. Condition: Neu. Feature Projections in Machine Learning | Artificial Intelligence | Karakavalasa Durga Akhil | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203863420 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 120287307
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