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Asmda 2001 10th International Symposium On Applied Stochastic Models And Data Analysis
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Book Synopsis Applied Stochastic Models And Data Analysis - Proceedings Of The Fifth International Symposium On Asmda by : Valderrama M J
Download or read book Applied Stochastic Models And Data Analysis - Proceedings Of The Fifth International Symposium On Asmda written by Valderrama M J and published by #N/A. This book was released on 1991-03-29 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: As with previous symposiums, the main objective of the Sixth International Symposium is to publish papers (of both technical and practical nature) to present new findings uncovered by theoretical results which may have the potential to contribute solutions to real-life problems. With this objective in mind, this collection of papers aims to serve as an interface between stochastic modeling and data analysis as well as their applications to the problems we face in the various fields. The papers first focused on the theory, application and interaction between stochastic models and data analysis. The results and their applications to the problems we face in the fields of economics, finance and insurance, management, marketing, health sciences, production and engineering are then explored.
Book Synopsis Machine Learning: ECML 2003 by : Nada Lavrač
Download or read book Machine Learning: ECML 2003 written by Nada Lavrač and published by Springer Science & Business Media. This book was released on 2003-09-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th European Conference on Machine Learning, ECML 2003, held in Cavtat-Dubrovnik, Croatia in September 2003 in conjunction with PKDD 2003. The 40 revised full papers presented together with 4 invited contributions were carefully reviewed and, together with another 40 ones for PKDD 2003, selected from a total of 332 submissions. The papers address all current issues in machine learning including support vector machine, inductive inference, feature selection algorithms, reinforcement learning, preference learning, probabilistic grammatical inference, decision tree learning, clustering, classification, agent learning, Markov networks, boosting, statistical parsing, Bayesian learning, supervised learning, and multi-instance learning.
Book Synopsis Applied Stochastic Models and Data Analysis by : Ramón Gutiérrez
Download or read book Applied Stochastic Models and Data Analysis written by Ramón Gutiérrez and published by World Scientific Publishing Company. This book was released on 1991 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: As with previous symposiums, the main objective of the Sixth International Symposium is to publish papers (of both technical and practical nature) to present new findings uncovered by theoretical results which may have the potential to contribute solutions to real-life problems. With this objective in mind, this collection of papers aims to serve as an interface between stochastic modeling and data analysis as well as their applications to the problems we face in the various fields. The papers first focused on the theory, application and interaction between stochastic models and data analysis. The results and their applications to the problems we face in the fields of economics, finance and insurance, management, marketing, health sciences, production and engineering are then explored.
Download or read book Machine Learning, ECML- ... written by and published by . This book was released on 2003 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applied Stochastic Models and Data Analysis by : Jacques Janssen
Download or read book Applied Stochastic Models and Data Analysis written by Jacques Janssen and published by . This book was released on 1993 with total page 1139 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in Knowledge Discovery and Data Mining by : David Cheung
Download or read book Advances in Knowledge Discovery and Data Mining written by David Cheung and published by Springer Science & Business Media. This book was released on 2005-05-10 with total page 885 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2005, held in Hanoi, Vietnam, in May 2005. The 48 revised full papers and 49 revised short papers presented together with abstracts or extended abstracts of 3 invited talks were carefully reviewed and selected from 327 submissions. The papers are organized in topical sections on theoretical foundations, association rules, biomedical domains, classification and ranking, clustering, dynamic data mining, graphical model discovery, high dimensional data, integration of data warehousing, knowledge management, machine learning, novel algorithms, spatial data, temporal data, and text and Web data mining.
Book Synopsis Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing by : Jean-Francois Giovannelli
Download or read book Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing written by Jean-Francois Giovannelli and published by John Wiley & Sons. This book was released on 2015-02-02 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on the basis of observed data. The building of solutions involves the recognition of other pieces of a priori information. These solutions are then specific to the pieces of information taken into account. Clarifying and taking these pieces of information into account is necessary for grasping the domain of validity and the field of application for the solutions built. For too long, the interest in these problems has remained very limited in the signal-image community. However, the community has since recognized that these matters are more interesting and they have become the subject of much greater enthusiasm. From the application field’s point of view, a significant part of the book is devoted to conventional subjects in the field of inversion: biological and medical imaging, astronomy, non-destructive evaluation, processing of video sequences, target tracking, sensor networks and digital communications. The variety of chapters is also clear, when we examine the acquisition modalities at stake: conventional modalities, such as tomography and NMR, visible or infrared optical imaging, or more recent modalities such as atomic force imaging and polarized light imaging.
Book Synopsis Mathematical and Statistical Methods for Insurance and Finance by : Cira Perna
Download or read book Mathematical and Statistical Methods for Insurance and Finance written by Cira Perna and published by Springer Science & Business Media. This book was released on 2007-12-12 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interaction between mathematicians and statisticians reveals to be an effective approach to the analysis of insurance and financial problems, in particular in an operative perspective. The Maf2006 conference, held at the University of Salerno in 2006, had precisely this purpose and the collection published here gathers some of the papers presented at the conference and successively worked out to this aim. They cover a wide variety of subjects in insurance and financial fields.
Author :Crete) International Symposium on Asmda 1993 (Chaina Publisher :World Scientific Publishing Company Incorporated ISBN 13 :9789810214364 Total Pages :1176 pages Book Rating :4.2/5 (143 download)
Book Synopsis Applied Stochastic Models and Data Analysis by : Crete) International Symposium on Asmda 1993 (Chaina
Download or read book Applied Stochastic Models and Data Analysis written by Crete) International Symposium on Asmda 1993 (Chaina and published by World Scientific Publishing Company Incorporated. This book was released on 1993-01-01 with total page 1176 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applied Stochastic Models and Data Analysis by : Jacques Janssen
Download or read book Applied Stochastic Models and Data Analysis written by Jacques Janssen and published by . This book was released on 1993 with total page 1139 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in Knowledge Discovery and Data Mining by :
Download or read book Advances in Knowledge Discovery and Data Mining written by and published by . This book was released on 2005 with total page 898 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis International Symposium on Applied Stochastic Models and Data Analysis VIII by : Carlo Lauro
Download or read book International Symposium on Applied Stochastic Models and Data Analysis VIII written by Carlo Lauro and published by . This book was released on 2000 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applied Stochastic Models and Data Analysis by : Jacques Janssen
Download or read book Applied Stochastic Models and Data Analysis written by Jacques Janssen and published by . This book was released on 1995 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applied Stochastic Models and Data Analysis by :
Download or read book Applied Stochastic Models and Data Analysis written by and published by . This book was released on 1985 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in Stochastic Modelling and Data Analysis by : Jacques Janssen
Download or read book Advances in Stochastic Modelling and Data Analysis written by Jacques Janssen and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Stochastic Modelling and Data Analysis presents the most recent developments in the field, together with their applications, mainly in the areas of insurance, finance, forecasting and marketing. In addition, the possible interactions between data analysis, artificial intelligence, decision support systems and multicriteria analysis are examined by top researchers. Audience: A wide readership drawn from theoretical and applied mathematicians, such as operations researchers, management scientists, statisticians, computer scientists, bankers, marketing managers, forecasters, and scientific societies such as EURO and TIMS.
Book Synopsis Concepts in Probability and Stochastic Modeling by : James J. Higgins
Download or read book Concepts in Probability and Stochastic Modeling written by James J. Higgins and published by Duxbury Resource Center. This book was released on 1995 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text stresses modern ideas, including simulation and interpretation of results. It focuses on the aspects of probability most relevant to applications, such as stochastic modeling, Markov chains, reliability, and queuing.
Book Synopsis Feedback Control in Systems Biology by : Carlo Cosentino
Download or read book Feedback Control in Systems Biology written by Carlo Cosentino and published by CRC Press. This book was released on 2011-10-17 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Like engineering systems, biological systems must also operate effectively in the presence of internal and external uncertainty—such as genetic mutations or temperature changes, for example. It is not surprising, then, that evolution has resulted in the widespread use of feedback, and research in systems biology over the past decade has shown that feedback control systems are widely found in biology. As an increasing number of researchers in the life sciences become interested in control-theoretic ideas such as feedback, stability, noise and disturbance attenuation, and robustness, there is a need for a text that explains feedback control as it applies to biological systems. Written by established researchers in both control engineering and systems biology, Feedback Control in Systems Biology explains how feedback control concepts can be applied to systems biology. Filling the need for a text on control theory for systems biologists, it provides an overview of relevant ideas and methods from control engineering and illustrates their application to the analysis of biological systems with case studies in cellular and molecular biology. Control Theory for Systems Biologists The book focuses on the fundamental concepts used to analyze the effects of feedback in biological control systems, rather than the control system design methods that form the core of most control textbooks. In addition, the authors do not assume that readers are familiar with control theory. They focus on "control applications" such as metabolic and gene-regulatory networks rather than aircraft, robots, or engines, and on mathematical models derived from classical reaction kinetics rather than classical mechanics. Another significant feature of the book is that it discusses nonlinear systems, an understanding of which is crucial for systems biologists because of the highly nonlinear nature of biological systems. The authors cover tools and techniques for the analysis of linear and nonlinear systems; negative and positive feedback; robustness analysis methods; techniques for the reverse-engineering of biological interaction networks; and the analysis of stochastic biological control systems. They also identify new research directions for control theory inspired by the dynamic characteristics of biological systems. A valuable reference for researchers, this text offers a sound starting point for scientists entering this fascinating and rapidly developing field.
