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Enhancing Explainability Neural Network by Arulprakash Enoch (9 results)
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Enhancing The Explainability of Neural Network: In the aspects of feature importance, domain rules and algorithmic transparency
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208064341 ISBN 13: 9786208064341
Condition: New.
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Enhancing The Explainability of Neural Network: In the aspects of feature importance, domain rules and algorithmic transparency
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208064341 ISBN 13: 9786208064341
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 63.87
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Enhancing The Explainability of Neural Network: In the aspects of feature importance, domain rules and algorithmic transparency
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208064341 ISBN 13: 9786208064341
Condition: New.
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Enhancing The Explainability of Neural Network
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2024, 2024
ISBN 10: 6208064341 ISBN 13: 9786208064341
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 204 pp. Englisch.
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Enhancing The Explainability of Neural Network: In the aspects of feature importance, domain rules and algorithmic transparency
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208064341 ISBN 13: 9786208064341
Condition: New. Print on Demand.
-
Enhancing The Explainability of Neural Network: In the aspects of feature importance, domain rules and algorithmic transparency
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208064341 ISBN 13: 9786208064341
Condition: New. PRINT ON DEMAND.
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Enhancing The Explainability of Neural Network | In the aspects of feature importance, domain rules and algorithmic transparency
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208064341 ISBN 13: 9786208064341
Taschenbuch. Condition: Neu. Enhancing The Explainability of Neural Network | In the aspects of feature importance, domain rules and algorithmic transparency | Enoch Arulprakash (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208064341 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu Print on Demand.
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Enhancing The Explainability of Neural Network
Language: English
Published by LAP LAMBERT Academic Publishing Sep 2024, 2024
ISBN 10: 6208064341 ISBN 13: 9786208064341
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Artificial Intelligence (AI) driven by neural networks is crucial in many applications like recommendation systems, language translation, social media, chatbots, and spell-checking etc. However, these networks are often criticized for being 'black boxes,' raising concerns about their explainability, especially in sensitive domains like healthcare, autonomous driving etc. Existing methods to enhance explainability, such as feature importance, often lack clarity and interpretability.To address this, the Object-Oriented Neural Network for Improved Explainability (OONNIE) was developed. OONNIE uses object-oriented modeling to combine loss and connection weight for computing feature importance and integrates domain-specific rules through OOP's extendability. The model emphasizes algorithmic transparency by detailing every training step. Evaluated on XOR and XNOR functions, OONNIE shows promising results in feature importance, faster loss reduction, and improved predictions after integrating domain rules. This marks a significant contribution to explainable AI, making OONNIE a valuable tool for developing trustworthy AI systems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 204 pp. Englisch.
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Enhancing The Explainability of Neural Network : In the aspects of feature importance, domain rules and algorithmic transparency
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208064341 ISBN 13: 9786208064341
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
