Guyon xavier (29 Ergebnisse)

Zustand: Good. Envoi rapide Bon Etat. 29x22x1cm. 2003. Album. 96 pages. Good.

Zustand: Very Good. l'article peut présenter de légères marques de stockage mais aucune marques de lecture et du reste en bon état. Envoi rapide et soigné dans enveloppe à bulles depuis France. 29x22x1cm. 2003. Album. 96 pages. Very Good.

Zustand: Fine. l'article peut présenter de légères marques de stockage mais aucune marques de lecture et du reste en très bon état. Envoi rapide et soigné dans enveloppe à bulles depuis France. 29x22x1cm. 2003. Album. 96 pages. Fine.

Zustand: Fine. French édition -Le livre qui n'a jamais été lu présente de petites marques de stockage sur la couverture et/ou les pourtours mais reste en très bon état d'ensemble. Expédié soigneusement dans un emballage adapté depuis la France. 29x22x1cm. 2003. Album. 96 pages. Fine.

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.…

Gebundene Ausgabe. Zustand: 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.…

hardcover. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Zustand: 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.

UNK. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780387944289.

Zustand: 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 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.…

Zustand: New. In English.

Zustand: NEW.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 256 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 302 | Sprache: Englisch | Produktart: Bücher | Key spatial models for three types of data are discussed in this overview of spatial modeling and statistics. Real-world applications illustrate the concepts and theories described, in addition to probabilistic properties and related statistical methods.…

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. pap/psc edition. 299 pages. 9.25x6.10x0.79 inches. In Stock.

Bündel. Zustand: 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.

Hardcover. Zustand: gut. 2009. Spatial Statistics and Modeling In englischer Sprache. pages.

Paperback. Zustand: Brand New. pap/psc edition. 299 pages. 9.25x6.10x0.79 inches. In Stock.

Kombiprodukt. Zustand: 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.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more. This book covers the best-known spatial models for three types of spatial data: geostatistical data (stationarity, intrinsic models, variograms, spatial regression and space-time models), areal data (Gibbs-Markov fields and spatial auto-regression) and point pattern data (Poisson, Cox, Gibbs and Markov point processes). The level is relatively advanced, and the presentation concise but complete.The most important statistical methods and their asymptotic properties are described, including estimation in geostatistics, autocorrelation and second-order statistics, maximum likelihood methods, approximate inference using the pseudo-likelihood or Monte-Carlo simulations, statistics for point processes and Bayesian hierarchical models. A chapter is devoted to Markov Chain Monte Carlo simulation (Gibbs sampler, Metropolis-Hastings algorithms and exact simulation).A large number of real examples are studied with R, and each chapter ends with a set of theoretical and applied exercises. While a foundation in probability and mathematical statistics is assumed, three appendices introduce some necessary background. The book is accessible to senior undergraduate students with a solid math background and Ph.D. students in statistics. Furthermore, experienced statisticians and researchers in the above-mentioned fields will find the book valuable as a mathematically sound reference.This book is the English translation of Modélisation et Statistique Spatiales published by Springer in the series Mathématiques & Applications, a series established by Société de Mathématiques Appliquées et Industrielles (SMAI).…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more. This book covers the best-known spatial models for three types of spatial data: geostatistical data (stationarity, intrinsic models, variograms, spatial regression and space-time models), areal data (Gibbs-Markov fields and spatial auto-regression) and point pattern data (Poisson, Cox, Gibbs and Markov point processes). The level is relatively advanced, and the presentation concise but complete.The most important statistical methods and their asymptotic properties are described, including estimation in geostatistics, autocorrelation and second-order statistics, maximum likelihood methods, approximate inference using the pseudo-likelihood or Monte-Carlo simulations, statistics for point processes and Bayesian hierarchical models. A chapter is devoted to Markov Chain Monte Carlo simulation (Gibbs sampler, Metropolis-Hastings algorithms and exact simulation).A large number of real examples are studied with R, and each chapter ends with a set of theoretical and applied exercises. While a foundation in probability and mathematical statistics is assumed, three appendices introduce some necessary background. The book is accessible to senior undergraduate students with a solid math background and Ph.D. students in statistics. Furthermore, experienced statisticians and researchers in the above-mentioned fields will find the book valuable as a mathematically sound reference.This book is the English translation of Modélisation et Statistique Spatiales published by Springer in the series Mathématiques & Applications, a series established by Société de Mathématiques Appliquées et Industrielles (SMAI).…

Zustand: New. In English.

Zustand: New.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - La statistique spatiale connaît un développement important du fait de son utilisation dans de nombreux domaines : sciences de la terre, environnement et climatologie, épidémiologie, économétrie, analyse d'image, etc. Ce livre présente les principaux modèles spatiaux utilisés ainsi que leur statistique pour les trois types de données : géostatistiques (observation sur un domaine continu), données sur réseau discret, données ponctuelles. L'objectif est présenter de façon concise mais mathématiquement complète les modèles les plus classiques (second ordre et variogramme ; modèle latticiel et champ de Gibbs-Markov ; processus ponctuels) ainsi que leur simulation par algorithme MCMC. Vient ensuite la présentation des outils statistiques utiles à leur étude. De nombreux exemples utilisant R illustrent les sujets abordés. Chaque chapitre est complété par des exercices et une annexe présente brièvement les outils probabilistes et statistiques utiles à la statistique de champs aléatoires.In recent years spatial statistics has been widely applied in diverse areas such as climatology, ecology, economy, epidemiology, image analysis, etc. This volume illustrates the main spatial models and the current statistical methods for point-referenced, areal data and point pattern data with an emphasis on recent simulation techniques such as MCMC algorithms. The presentation is concise but mathematically rigorous and the proposed methods are illustrated using real data and the software R. Some exercises complete each chapter. The volume is accessible for senior undergraduate students, Ph.D. students in statistics, and experienced statisticians. Moreover researchers in the above mentioned areas will find it useful as a mathematically sound reference.…

Zustand: Très bon. Merci, votre achat aide à financer des programmes de lutte contre l'illettrisme.

Softcover. Zustand: gut. 2007. Marseille antique In deutscher Sprache. pages.