Hugo Jair Escalante ~ Explainable and Interpretable Models in ... 9783319981307

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Seiten
299
Gewicht
673
Einband
Bündel
Marke
Springer-Verlag Gmbh
Fachbereich
Hardcover/Naturwissenschaften, Medizin, Informatik, Technik/In...
Publikationstitel
Explainable and Interpretable Models in Computer Vision and Ma...
Buchtitel
Explainable and Interpretable Models in Computer Vision and Ma...
Film-/Fernseh-Titel
Keine Angabe
Musiktitel
Keine Angabe
Interpret
Keine Angabe
ISBN
9783319981307
Category

About this product

Produktinformation

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

Produktkennzeichnungen

Herausgeber
HUGO BOSS Jair Escalante, Umut Güçlü, Yagmur Güçlütürk, Sergio Escalera, Isabelle Guyon, Marcel Van Gerven, Xavier Bäro
ISBN-10
3319981307
ISBN-13
9783319981307
eBay Product ID (ePID)
15042136649

Produkt Hauptmerkmale

Verlag
Springer-Verlag Gmbh, Springer International Publishing
Erscheinungsjahr
2018
Anzahl der Seiten
Xvii Seiten
Publikationsname
Explainable And Interpretable Models in Computer Vision And Machine Learning
Sprache
Englisch
Produktart
Lehrbuch
Autor
Hugo Jair Escalante, Umut Güçlü, Yagmur Güçlütürk, Sergio Escalera, Isabelle Guyon, Marcel Van Gerven, Xavier Baró
Reihe
The Springer Series On Challenges in Machine Learning
Format
Taschenbuch

Zusätzliche Produkteigenschaften

Hörbuch
No
Inhaltsbeschreibung
Book + Ebook
Item Height
2cm
Item Length
24cm
Item Weight
673g
Item Width
16cm

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