doan thanh (47 Ergebnisse)

1st ed. 2022. XI, 682 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. Studies in Computational Intelligence, 983. Sprache: Englisch.

Zustand: Gut. Zustand: Gut | Seiten: 144 | Sprache: Englisch | Produktart: Bücher.

Paperback. Zustand: Very Good. Foreign Languages Publishing House 1964 first edition. Pages clean and bright, binding firm, minor shelf wear to cover. ALL ITEMS ARE DISPATCHED FROM THE UK WITHIN 48 HOURS ( BOOKS ORDERED OVER THE WEEKEND DISPATCHED ON MONDAY) ALL OVERSEAS ORDERS SENT BY TRACKABLE AIR MAIL. IF YOU ARE LOCATED OUTSIDE THE UK PLEASE ASK US FOR A POSTAGE QUOTE FOR MULTI VOLUME SETS BEFORE ORDERING.

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Paperback. Zustand: Good. 171pp.

Zustand: New. In.

No Binding. Zustand: Very Good. ORIGINAL 1995 Article, disbound from journal; no covers; in very good condition. Journal.

No Binding. Zustand: Very Good. ORIGINAL 1995 Article, disbound from journal; no covers; in very good condition. Journal.

kart., Zustand: Gut. 284 pages Das Buch ist in altersentsprechend gutem Zustand. Keine Anstreichungen und/oder Eintragungen. Papierbedingt gebräunt fd Sprache: Französisch Gewicht in Gramm: 250.

Zustand: New.

Zustand: New. xv, 247 pages, illustrations, maps.

Taschenbuch. Zustand: Neu. Neuware -Visual recognition remains an extremely challenging problem in computer vision. Most previous approaches have been evaluated on small datasets. However, ImageNet dataset with millions images for thousands classes poses more challenges for the next generation of vision mechanisms. Learning an efficient visual classifier and constructing a robust visual representation in a large scale scenario are two main research issues. In this book, we present how to tackle these issues. Firstly, a novel approach is presented by using several local descriptors to improve the discriminative power of image representation. Secondly, the state-of-the-art SVMs are extended by building the balanced bagging classifiers with sampling strategy and parallelizing the training process with several multi-core computers. Thirdly, the binary stochastic gradient descent SVM is developed to the new multiclass SVM for efficiently classifying large image datasets into many classes. Finally, when the training data cannot fit into computer memory, the training task of SVM becomes more complicated to deal with. This challenge is addressed by an incremental learning method for both large scale linear and nonlinear SVMsVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch.

Softcover. Zustand: Very Good. First English-language edition. 12mo. 171pp. Illustrated from black and white photographs. Printed wrappers. Spine ends and corners bumped, wraps with a few creases, lightly toned, very good.

Couverture souple. Zustand: bon. R200097278: NON DATE. In-12. Broché. Etat d'usage, Couv. convenable, Dos satisfaisant, Papier jauni. 284 pages. Quelques photos en noir et blanc, hors texte. . . . Classification Dewey : 954-Asie du Sud, Inde.

Zustand: New.

Zustand: New.

Zustand: New. In.

Zustand: New. In.

Zustand: New. In.

Buch. Zustand: Neu. Neuware -This book covers data processing techniques, with economic and financial application being the unifying theme. To make proper investments in economy, the authors need to have a good understanding of the future trends: how will demand change, how will prices change, etc. In general, in science, the usual way to make predictions is: to identify a model that best fits the current dynamics, andto use this model to predict the future behavior.In many practical situations¿especially in economics¿our past experiences are limited. As a result, the authors can only achieve a partial identification. It is therefore important to be able to make predictions based on such partially identified models¿which is the main focus of this book. This book emphasizes partial identification techniques, but it also describes and uses other econometric techniques, ranging from more traditional statistical techniques to more innovative ones such as game-theoretic approach, interval techniques, and machine learning. Applications range from general analysis of GDP growth, stock market, and consumer prices to analysis of specific sectors of economics (credit and banking, energy, health, labor, tourism, international trade) to specific issues affecting economy such as ecology, national culture, government regulations, and the existence of shadow economy. This book shows what has been achieved, but even more important are remaining open problems. The authors hope that this book will: inspire practitioners to learn how to apply state-of-the-art techniques, especially techniques of optimal transport statistics, to economic and financial problems, andinspire researchers to further improve the existing techniques and to come up with new techniques for studying economic and financial phenomena. The authors want to thank all the authors for their contributions and all anonymous referees for their thorough analysis and helpful comments.The publication of this book¿and organization of the conference at which these papers were presented¿was supported:by the Ho Chi Minh University of Banking (HUB), Vietnam, andby the Vingroup Innovation Foundation (VINIF).The authors thank the leadership and staff of HUB and VINIF for providing crucial support.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 748 pp. Englisch.

Buch. Zustand: Neu. Neuware -This book overviews latest ideas and developments in financial econometrics, with an emphasis on how to best use prior knowledge (e.g., Bayesian way) and how to best use successful data processing techniques from other application areas (e.g., from quantum physics). The book also covers applications to economy-related phenomena ranging from traditionally analyzed phenomena such as manufacturing, food industry, and taxes, to newer-to-analyze phenomena such as cryptocurrencies, influencer marketing, COVID-19 pandemic, financial fraud detection, corruption, and shadow economy. This book will inspire practitioners to learn how to apply state-of-the-art Bayesian, quantum, and related techniques to economic and financial problems and inspire researchers to further improve the existing techniques and come up with new techniques for studying economic and financial phenomena. The book will also be of interest to students interested in latest ideas and results.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 892 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book overviews latest ideas and developments in financial econometrics, with an emphasis on how to best use prior knowledge (e.g., Bayesian way) and how to best use successful data processing techniques from other application areas (e.g., from quantum physics). The book also covers applications to economy-related phenomena ranging from traditionally analyzed phenomena such as manufacturing, food industry, and taxes, to newer-to-analyze phenomena such as cryptocurrencies, influencer marketing, COVID-19 pandemic, financial fraud detection, corruption, and shadow economy. This book will inspire practitioners to learn how to apply state-of-the-art Bayesian, quantum, and related techniques to economic and financial problems and inspire researchers to further improve the existing techniques and come up with new techniques for studying economic and financial phenomena. The book will also be of interest to students interested in latest ideas and results.

Taschenbuch. Zustand: Neu. Neuware -This volume emphasizes techniques of optimal transport statistics, but it also describes and uses other econometric techniques, ranging from more traditional statistical techniques to more innovative ones such as quantiles (in particular, multidimensional quantiles), maximum entropy approach, and machine learning. Applications range from general analysis of GDP growth, stock market, and consumer prices to analysis of specific sectors of economics (construction, credit and banking, energy, health, labor, textile, tourism, international trade) to specific issues affecting economy such as bankruptcy, effect of Covid-19 pandemic, effect of pollution, effect of gender, cryptocurrencies, and the existence of shadow economy. Papers presented in this volume also cover data processing techniques, with economic and financial application being the unifying theme. This volume shows what has been achieved, but even more important are remaining open problems. We hope that this volume will: inspire practitioners to learn how to apply state-of-the-art techniques, especially techniques of optimal transport statistics, to economic and financial problems, and inspire researchers to further improve the existing techniques and to come up with new techniques for studying economic and financial phenomena.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 716 pp. Englisch.