Explainable and Interpretable Models in Computer Vision and Machine Learning

Lingua: inglese

Editore: Springer-Verlag Gmbh Sep 2018, 2018

3319981307 / 9783319981307

Serie: Libro 4 di 8 - The Springer Series on Challenges in Machine Learning

Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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Venditore AbeBooks dal 11 gennaio 2012

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Descrizione dell’articolo da parte del venditore

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

Titolo
Explainable and Interpretable Models in Computer Vision and Machine Learning
Autore
Hugo Jair Escalante
Editore
Springer-Verlag Gmbh Sep 2018
Anno di pubblicazione
2018
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
3319981307
ISBN 13
9783319981307
Peso dell'articolo
673 grammi
Dimensioni
241x161x22 mm
Serie
Libro 4 di 8: The Springer Series on Challenges in Machine Learning

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 11 gennaio 2012

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 5 a 15 giorni lavorativiDa 5 a 15 giorni lavorativi
Primo articoloEUR 23,00EUR 23,00
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