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Synopsis
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
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Explainable and Interpretable Models in Computer Vision and Machine Learning.
Edité par
Cham, Springer., 2018
ISBN 10 : 3319981307
ISBN 13 : 9783319981307
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Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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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. N° de réf. du vendeur 34532AB
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Edité par
Springer-Verlag GmbH, 2018
ISBN 10 : 3319981307
ISBN 13 : 9783319981307
Ancien ou d'occasion
Couverture souple
Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Hervorragend. Zustand: Hervorragend | Seiten: 299 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 29483391/1
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Explainable and Interpretable Models in Computer Vision and Machine Learning (The Springer Series on Challenges in Machine Learning)
Edité par
Springer, 2019
ISBN 10 : 3319981307
ISBN 13 : 9783319981307
Ancien ou d'occasion
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Gebundene Ausgabe. Etat : Sehr gut. Gebraucht - Sehr gut - ungelesen,als Mängelexemplar gekennzeichnet, mit leichten Mängeln an Schnitt oder Einband durch Lager- oder Transportschaden -This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Springer Fachmedien Wiesbaden GmbH, Abraham-Lincoln-Str. 46, 65189 Wiesbaden 316 pp. Englisch. N° de réf. du vendeur INF1000251058
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Edité par
Springer International Publishing, 2019
ISBN 10 : 3319981307
ISBN 13 : 9783319981307
Neuf
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Vendeur : moluna, Greven, Allemagne
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Etat : 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. N° de réf. du vendeur 266307510
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Edité par
Springer-Verlag Gmbh Sep 2018, 2018
ISBN 10 : 3319981307
ISBN 13 : 9783319981307
Neuf
Couverture rigide
Vendeur : Wegmann1855, Zwiesel, Allemagne
Évaluation du vendeur 2 sur 5 étoiles
Bündel. Etat : 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. N° de réf. du vendeur 9783319981307
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Edité par
Springer-Verlag Gmbh Sep 2018, 2018
ISBN 10 : 3319981307
ISBN 13 : 9783319981307
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783319981307
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Edité par
Springer-Verlag Gmbh Sep 2018, 2018
ISBN 10 : 3319981307
ISBN 13 : 9783319981307
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783319981307
Quantité disponible : 1 disponible(s)
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Edité par
Springer-Verlag Gmbh Sep 2018, 2018
ISBN 10 : 3319981307
ISBN 13 : 9783319981307
Neuf
Taschenbuch
Vendeur : Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783319981307
Quantité disponible : 1 disponible(s)
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Edité par
Springer-Verlag Gmbh Sep 2018, 2018
ISBN 10 : 3319981307
ISBN 13 : 9783319981307
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Bündel. Etat : 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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 299 pp. Englisch. N° de réf. du vendeur 9783319981307
Quantité disponible : 1 disponible(s)
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Explainable and Interpretable Models in Computer Vision and Machine Learning
Edité par
Springer-Verlag New York Inc, 2018
ISBN 10 : 3319981307
ISBN 13 : 9783319981307
Neuf
Paperback
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. pap/psc edition. 299 pages. 9.25x6.10x0.79 inches. In Stock. N° de réf. du vendeur x-3319981307
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