Articoli correlati a Explainable and Interpretable Models in Computer Vision...
- EditoreSpringer-Nature New York Inc
- Data di pubblicazione2019
- ISBN 10 3319981307
- ISBN 13 9783319981307
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine299
- RedattoreEscalante Hugo Jair, Escalera Sergio, Guyon Isabelle, Bar Xavier, Gltrk Yagmur
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Explainable and Interpretable Models in Computer Vision and Machine Learning.
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
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XVII, 299 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. The Springer Series on Challenges in Machine Learning. Sprache: Englisch. Codice articolo 34532AB
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Editore:
Springer International Publishing, 2019
ISBN 10: 3319981307
ISBN 13: 9783319981307
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Da: moluna, Greven, Germania
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Condizione: New. Presents a snapshot of explainable and interpretable models in the context of computer vision and machine learningCovers fundamental topics to serve as a reference for newcomers to the fieldOffers successful methodologies, with appli. Codice articolo 266307510
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Editore:
Springer-Verlag Gmbh Sep 2018, 2018
ISBN 10: 3319981307
ISBN 13: 9783319981307
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Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. Neuware -This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made what in the model structure explains its functioning Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: Evaluation and Generalization in Interpretable Machine Learning Explanation Methods in Deep Learning Learning Functional Causal Models with Generative Neural Networks Learning Interpreatable Rules for Multi-Label Classification Structuring Neural Networks for More Explainable Predictions Generating Post Hoc Rationales of Deep Visual Classification Decisions Ensembling Visual Explanations Explainable Deep Driving by Visualizing Causal Attention Interdisciplinary Perspective on Algorithmic Job Candidate Search Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions Inherent Explainability Pattern Theory-based Video Event Interpretations 299 pp. Englisch. Codice articolo 9783319981307
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Editore:
Springer-Verlag Gmbh Sep 2018, 2018
ISBN 10: 3319981307
ISBN 13: 9783319981307
Nuovo
Taschenbuch
Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. Neuware -This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made what in the model structure explains its functioning Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: Evaluation and Generalization in Interpretable Machine Learning Explanation Methods in Deep Learning Learning Functional Causal Models with Generative Neural Networks Learning Interpreatable Rules for Multi-Label Classification Structuring Neural Networks for More Explainable Predictions Generating Post Hoc Rationales of Deep Visual Classification Decisions Ensembling Visual Explanations Explainable Deep Driving by Visualizing Causal Attention Interdisciplinary Perspective on Algorithmic Job Candidate Search Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions Inherent Explainability Pattern Theory-based Video Event Interpretations 299 pp. Englisch. Codice articolo 9783319981307
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Editore:
Springer-Verlag Gmbh Sep 2018, 2018
ISBN 10: 3319981307
ISBN 13: 9783319981307
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Da: Wegmann1855, Zwiesel, Germania
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Bündel. Condizione: Neu. Neuware -This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Codice articolo 9783319981307
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Editore:
Springer-Verlag Gmbh Sep 2018, 2018
ISBN 10: 3319981307
ISBN 13: 9783319981307
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Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. Neuware - This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made what in the model structure explains its functioning Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: Evaluation and Generalization in Interpretable Machine Learning Explanation Methods in Deep Learning Learning Functional Causal Models with Generative Neural Networks Learning Interpreatable Rules for Multi-Label Classification Structuring Neural Networks for More Explainable Predictions Generating Post Hoc Rationales of Deep Visual Classification Decisions Ensembling Visual Explanations Explainable Deep Driving by Visualizing Causal Attention Interdisciplinary Perspective on Algorithmic Job Candidate Search Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions Inherent Explainability Pattern Theory-based Video Event Interpretations. Codice articolo 9783319981307
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Explainable and Interpretable Models in Computer Vision and Machine Learning (Book & Merchandise)
Editore:
Springer International Publishing AG, Cham, 2019
ISBN 10: 3319981307
ISBN 13: 9783319981307
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Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
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Book & Merchandise. Condizione: new. Book & Merchandise. This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: Evaluation and Generalization in Interpretable Machine Learning Explanation Methods in Deep Learning Learning Functional Causal Models with Generative Neural Networks Learning Interpreatable Rules for Multi-Label Classification Structuring Neural Networks for More Explainable Predictions Generating Post Hoc Rationales of Deep Visual Classification Decisions Ensembling Visual Explanations Explainable Deep Driving by Visualizing Causal Attention Interdisciplinary Perspective on Algorithmic Job Candidate Search Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions Inherent Explainability Pattern Theory-based Video Event Interpretations Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783319981307
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Editore:
Springer-Verlag New York Inc, 2018
ISBN 10: 3319981307
ISBN 13: 9783319981307
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Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. pap/psc edition. 299 pages. 9.25x6.10x0.79 inches. In Stock. Codice articolo x-3319981307
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