Explainable interpretable models computer (12 resultados)
Idioma: Inglés
Editorial: Cham, Springer. 2018
Serie: The Springer Series on Challenges in Machine Learning, Libro 4 de 8. Libro 4 de 8 - The Springer Series on Challenges in Machine Learning
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Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, , AlemaniaUniversitätsbuchhandlung Herta Hold GmbH
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EUR 12,00
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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: Englis…ch.
Idioma: Inglés
Editorial: Springer 2019
Serie: The Springer Series on Challenges in Machine Learning, Libro 4 de 8. Libro 4 de 8 - The Springer Series on Challenges in Machine Learning
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 59,90
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Gebundene Ausgabe. Condición: 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 v…ision and machine learning.Springer Fachmedien Wiesbaden GmbH, Abraham-Lincoln-Str. 46, 65189 Wiesbaden 316 pp. Englisch.
Idioma: Inglés
Editorial: Springer International Publishing 2019
Serie: The Springer Series on Challenges in Machine Learning, Libro 4 de 8. Libro 4 de 8 - The Springer Series on Challenges in Machine Learning
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Librería: moluna, Greven, , Alemaniamoluna
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EUR 78,85
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Condición: 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.
Idioma: Inglés
Editorial: Springer-Verlag GmbH 2018
Serie: The Springer Series on Challenges in Machine Learning, Libro 4 de 8. Libro 4 de 8 - The Springer Series on Challenges in Machine Learning
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Librería: Buchpark, Trebbin, , AlemaniaBuchpark
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EUR 36,59
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Condición: Hervorragend. Zustand: Hervorragend | Seiten: 299 | Sprache: Englisch | Produktart: Bücher | 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 recogniti…on 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.
Idioma: Inglés
Editorial: Springer-Verlag Gmbh Sep 2018 2018
Serie: The Springer Series on Challenges in Machine Learning, Libro 4 de 8. Libro 4 de 8 - The Springer Series on Challenges in Machine Learning
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Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, , AlemaniaRheinberg-Buch Andreas Meier eK
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EUR 160,49
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Taschenbuch. Condición: 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-l…ike 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.
Idioma: Inglés
Editorial: Springer-Verlag Gmbh Sep 2018 2018
Serie: The Springer Series on Challenges in Machine Learning, Libro 4 de 8. Libro 4 de 8 - The Springer Series on Challenges in Machine Learning
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 160,49
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Taschenbuch. Condición: 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-l…ike 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.
Idioma: Inglés
Editorial: Springer International Publishing AG, Cham 2019
Serie: The Springer Series on Challenges in Machine Learning, Libro 4 de 8. Libro 4 de 8 - The Springer Series on Challenges in Machine Learning
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 192,39
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Book & Merchandise. Condición: 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 w…ith 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.
Idioma: Inglés
Editorial: Springer-Verlag Gmbh Sep 2018 2018
Serie: The Springer Series on Challenges in Machine Learning, Libro 4 de 8. Libro 4 de 8 - The Springer Series on Challenges in Machine Learning
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Librería: Wegmann1855, Zwiesel, , AlemaniaWegmann1855
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EUR 160,49
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Bündel. Condición: 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.
Idioma: Inglés
Editorial: Springer-Verlag Gmbh Sep 2018 2018
Serie: The Springer Series on Challenges in Machine Learning, Libro 4 de 8. Libro 4 de 8 - The Springer Series on Challenges in Machine Learning
- Tapa dura
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 160,49
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Bündel. Condición: 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.
Idioma: Inglés
Editorial: Springer-Verlag Gmbh Sep 2018 2018
Serie: The Springer Series on Challenges in Machine Learning, Libro 4 de 8. Libro 4 de 8 - The Springer Series on Challenges in Machine Learning
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 162,42
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Kombiprodukt. Condición: 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.
Idioma: Inglés
Editorial: Springer-Verlag GmbH 2018
Serie: The Springer Series on Challenges in Machine Learning, Libro 4 de 8. Libro 4 de 8 - The Springer Series on Challenges in Machine Learning
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Librería: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, AlemaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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EUR 189,90
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Condición: gut. 2018. Explainable and Interpretable Models in Computer Vision and Machine Learning In deutscher Sprache. pages.
Idioma: Inglés
Editorial: Springer-Verlag New York Inc 2018
Serie: The Springer Series on Challenges in Machine Learning, Libro 4 de 8. Libro 4 de 8 - The Springer Series on Challenges in Machine Learning
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Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
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EUR 239,48
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Paperback. Condición: Brand New. pap/psc edition. 299 pages. 9.25x6.10x0.79 inches. In Stock.
