Data Mining Via Mathematical Programming And Machine Learning

DOWNLOAD

Download Data Mining Via Mathematical Programming And Machine Learning PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Mining Via Mathematical Programming And Machine Learning book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Data Mining Via Mathematical Programming And Machine Learning

DOWNLOAD
Author : David R. Musicant
language : en
Publisher:
Release Date : 2000

Data Mining Via Mathematical Programming And Machine Learning written by David R. Musicant and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.

Machine Learning And Data Mining Via Mathematical Programming Based Support Vector Machines

DOWNLOAD
Author : Glenn Fung
language : en
Publisher:
Release Date : 2003

Machine Learning And Data Mining Via Mathematical Programming Based Support Vector Machines written by Glenn Fung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.

Computational Science Iccs 2006

DOWNLOAD
Author : Vassil N. Alexandrov
language : en
Publisher: Springer Science & Business Media
Release Date : 2006

Computational Science Iccs 2006 written by Vassil N. Alexandrov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computational complexity categories.

Annotation The four-volume set LNCS 3991-3994 constitutes the refereed proceedings of the 6th International Conference on Computational Science, ICCS 2006, held in Reading, UK, in May 2006. The main conference and its 32 topical workshops attracted over 1400 submissions. The 98 revised full papers and 29 revised poster papers of the main track presented together with 500 accepted workshop papers were carefully reviewed and selected for inclusion in the four volumes. The papers span the whole range of computational science, with focus on the following major themes: tackling grand challenges problems; modelling and simulations of complex systems; scalable algorithms and tools and environments for computational science. Of particular interest were the following major recent developments in novel methods and modelling of complex systems for diverse areas of science, scalable scientific algorithms, advanced software tools, computational grids, advanced numerical methods, and novel application areas where the above novel models, algorithms and tools can be efficiently applied such as physical systems, computational and systems biology, environmental systems, finance, and others.

Mathematical Programming Approaches To Machine Learning And Data Mining

DOWNLOAD
Author : Paul S. Bradley
language : en
Publisher:
Release Date : 1998

Mathematical Programming Approaches To Machine Learning And Data Mining written by Paul S. Bradley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.

Decision Analytics And Optimization In Disease Prevention And Treatment

DOWNLOAD
Author : Nan Kong
language : en
Publisher: John Wiley & Sons
Release Date : 2018-03-13

Decision Analytics And Optimization In Disease Prevention And Treatment written by Nan Kong and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-13 with Business & Economics categories.

A systematic review of the most current decision models and techniques for disease prevention and treatment Decision Analytics and Optimization in Disease Prevention and Treatment offers a comprehensive resource of the most current decision models and techniques for disease prevention and treatment. With contributions from leading experts in the field, this important resource presents information on the optimization of chronic disease prevention, infectious disease control and prevention, and disease treatment and treatment technology. Designed to be accessible, in each chapter the text presents one decision problem with the related methodology to showcase the vast applicability of operations research tools and techniques in advancing medical decision making. This vital resource features the most recent and effective approaches to the quickly growing field of healthcare decision analytics, which involves cost-effectiveness analysis, stochastic modeling, and computer simulation. Throughout the book, the contributors discuss clinical applications of modeling and optimization techniques to assist medical decision making within complex environments. Accessible and authoritative, Decision Analytics and Optimization in Disease Prevention and Treatment: Presents summaries of the state-of-the-art research that has successfully utilized both decision analytics and optimization tools within healthcare operations research Highlights the optimization of chronic disease prevention, infectious disease control and prevention, and disease treatment and treatment technology Includes contributions by well-known experts from operations researchers to clinical researchers, and from data scientists to public health administrators Offers clarification on common misunderstandings and misnomers while shedding light on new approaches in this growing area Designed for use by academics, practitioners, and researchers, Decision Analytics and Optimization in Disease Prevention and Treatment offers a comprehensive resource for accessing the power of decision analytics and optimization tools within healthcare operations research.

Support Vector Machines

DOWNLOAD
Author : Naiyang Deng
language : en
Publisher: CRC Press
Release Date : 2012-12-17

Support Vector Machines written by Naiyang Deng and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-17 with Business & Economics categories.

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)—classification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs since optimization is one of the pillars on which SVMs are built. The authors share insight on many of their research achievements. They give a precise interpretation of statistical leaning theory for C-support vector classification. They also discuss regularized twin SVMs for binary classification problems, SVMs for solving multi-classification problems based on ordinal regression, SVMs for semi-supervised problems, and SVMs for problems with perturbations. To improve readability, concepts, methods, and results are introduced graphically and with clear explanations. For important concepts and algorithms, such as the Crammer-Singer SVM for multi-class classification problems, the text provides geometric interpretations that are not depicted in current literature. Enabling a sound understanding of SVMs, this book gives beginners as well as more experienced researchers and engineers the tools to solve real-world problems using SVMs.

Mathematical Programming In Data Mining And Machine Learning

DOWNLOAD
Author : Katya Scheinberg
language : en
Publisher:
Release Date : 2008

Mathematical Programming In Data Mining And Machine Learning written by Katya Scheinberg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.

Optimization In Medicine

DOWNLOAD
Author : Carlos J. S. Alves
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-20

Optimization In Medicine written by Carlos J. S. Alves and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-20 with Medical categories.

Optimization has become an essential tool in addressing the limitation of resources and need for better decision-making in the medical field. Both continuous and discrete mathematical techniques are playing an increasingly important role in understanding several fundamental problems in medicine. This volume presents a wide range of medical applications that can utilize mathematical computing. Examples include using an algorithm for considering the seed reconstruction problem in brachytherapy and using optimization-classification models to assist in the early prediction, diagnosis and detection of diseases. Discrete optimization techniques and measures derived from the theory of nonlinear dynamics, with analysis of multi-electrode electroencephalographic (EEG) data, assist in predicting impending epileptic seizures. Mathematics in medicine can also be found in recent cancer research. Sophisticated mathematical models and optimization algorithms have been used to generate treatment plans for radionuclide implant and external beam radiation therapy. Optimization techniques have also been used to automate the planning process in Gamma Knife treatment, as well as to address a variety of medical image registration problems. This work grew out of a workshop on optimization which was held during the 2005 CIM Thematic Term on Optimization in Coimbra, Portugal. It provides an overview of the state-of-the-art in optimization in medicine and will serve as an excellent reference for researchers in the medical computing community and for those working in applied mathematics and optimization.

Encyclopedia Of Optimization

DOWNLOAD
Author : Christodoulos A. Floudas
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-04

Encyclopedia Of Optimization written by Christodoulos A. Floudas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-04 with Mathematics categories.

The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field. The second edition builds on the success of the former edition with more than 150 completely new entries, designed to ensure that the reference addresses recent areas where optimization theories and techniques have advanced. Particularly heavy attention resulted in health science and transportation, with entries such as "Algorithms for Genomics", "Optimization and Radiotherapy Treatment Design", and "Crew Scheduling".

Implementation Of Machine Learning Algorithms Using Control Flow And Dataflow Paradigms

DOWNLOAD
Author : Milutinović, Veljko
language : en
Publisher: IGI Global
Release Date : 2022-03-11

Implementation Of Machine Learning Algorithms Using Control Flow And Dataflow Paradigms written by Milutinović, Veljko and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-11 with Computers categories.

Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.