The Random Projection Method

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The Random Projection Method

Santosh S. Vempala
The Random Projection Method Book PDF

Author : Santosh S. Vempala
Publisher : American Mathematical Soc.
Page : 120 pages
File Size : 46,8 Mb
Release : 2005-02-24
Category : Mathematics
ISBN : 9780821837931

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The Random Projection Method by Santosh S. Vempala Pdf

Random projection is a simple geometric technique for reducing the dimensionality of a set of points in Euclidean space while preserving pairwise distances approximately. The technique plays a key role in several breakthrough developments in the field of algorithms. In other cases, it provides elegant alternative proofs. The book begins with an elementary description of the technique and its basic properties. Then it develops the method in the context of applications, which are divided into three groups. The first group consists of combinatorial optimization problems such as maxcut, graph coloring, minimum multicut, graph bandwidth and VLSI layout. Presented in this context is the theory of Euclidean embeddings of graphs. The next group is machine learning problems, specifically, learning intersections of halfspaces and learning large margin hypotheses. The projection method is further refined for the latter application. The last set consists of problems inspired by information retrieval, namely, nearest neighbor search, geometric clustering and efficient low-rank approximation. Motivated by the first two applications, an extension of random projection to the hypercube is developed here. Throughout the book, random projection is used as a way to understand, simplify and connect progress on these important and seemingly unrelated problems. The book is suitable for graduate students and research mathematicians interested in computational geometry.

The Random Projection Method

Santosh Srinivas Vempala
The Random Projection Method Book PDF

Author : Santosh Srinivas Vempala
Publisher : Unknown
Page : 105 pages
File Size : 41,7 Mb
Release : 2004
Category : MATHEMATICS
ISBN : 1470417774

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The Random Projection Method by Santosh Srinivas Vempala Pdf

Random projection is a simple geometric technique for reducing the dimensionality of a set of points in Euclidean space while preserving pairwise distances approximately. The technique plays a key role in several breakthrough developments in the field of algorithms. In other cases, it provides elegant alternative proofs. The book begins with an elementary description of the technique and its basic properties. Then it develops the method in the context of applications, which are divided into three groups. The first group consists of combinatorial optimization problems such as maxcut, graph colo.

The Practice of Entrepreneurship

Geoffrey Grant Meredith,Robert E. Nelson,Philip A. Neck
The Practice of Entrepreneurship Book PDF

Author : Geoffrey Grant Meredith,Robert E. Nelson,Philip A. Neck
Publisher : Unknown
Page : 214 pages
File Size : 41,8 Mb
Release : 1982
Category : Business & Economics
ISBN : 9221028399

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The Practice of Entrepreneurship by Geoffrey Grant Meredith,Robert E. Nelson,Philip A. Neck Pdf

Intended to help individuals in self development for business ownership, this volume presents personal characteristics, planning and control and the variety and use of resources for the entrepreneur. Includes numerous checklists, formula and graphic analytical devices and practical techniques.

The Essentials of Machine Learning in Finance and Accounting

Mohammad Zoynul Abedin,M. Kabir Hassan,Petr Hajek,Mohammed Mohi Uddin
The Essentials of Machine Learning in Finance and Accounting Book PDF

Author : Mohammad Zoynul Abedin,M. Kabir Hassan,Petr Hajek,Mohammed Mohi Uddin
Publisher : Routledge
Page : 275 pages
File Size : 48,8 Mb
Release : 2021-06-20
Category : Business & Economics
ISBN : 9781000394122

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The Essentials of Machine Learning in Finance and Accounting by Mohammad Zoynul Abedin,M. Kabir Hassan,Petr Hajek,Mohammed Mohi Uddin Pdf

This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data. Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.

Subspace, Latent Structure and Feature Selection

Craig Saunders,Marko Grobelnik,Steve Gunn,John Shawe-Taylor
Subspace Latent Structure and Feature Selection Book PDF

Author : Craig Saunders,Marko Grobelnik,Steve Gunn,John Shawe-Taylor
Publisher : Springer
Page : 209 pages
File Size : 44,5 Mb
Release : 2006-05-24
Category : Computers
ISBN : 9783540341383

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Subspace, Latent Structure and Feature Selection by Craig Saunders,Marko Grobelnik,Steve Gunn,John Shawe-Taylor Pdf

This book constitutes the thoroughly refereed post-proceedings of the PASCAL (pattern analysis, statistical modelling and computational learning) Statistical and Optimization Perspectives Workshop on Subspace, Latent Structure and Feature Selection techniques, SLSFS 2005. The 9 revised full papers presented together with 5 invited papers reflect the key approaches that have been developed for subspace identification and feature selection using dimension reduction techniques, subspace methods, random projection methods, among others.

Pattern Recognition Applications and Methods

Maria De Marsico,Gabriella Sanniti di Baja,Ana Fred
Pattern Recognition Applications and Methods Book PDF

Author : Maria De Marsico,Gabriella Sanniti di Baja,Ana Fred
Publisher : Springer
Page : 235 pages
File Size : 48,9 Mb
Release : 2018-06-15
Category : Computers
ISBN : 9783319936475

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Pattern Recognition Applications and Methods by Maria De Marsico,Gabriella Sanniti di Baja,Ana Fred Pdf

This book contains revised and extended versions of selected papers from the 6th International Conference on Pattern Recognition, ICPRAM 2017, held in Porto, Portugal, in February 2017. The 13 full papers presented were carefully reviewed and selected from 139 initial submissions. They aim at making visible and understandable the relevant trends of current research on pattern recognition.

Entropy Randomization in Machine Learning

Yuri S. Popkov,Alexey Yu. Popkov,Yuri A. Dubnov
Entropy Randomization in Machine Learning Book PDF

Author : Yuri S. Popkov,Alexey Yu. Popkov,Yuri A. Dubnov
Publisher : CRC Press
Page : 405 pages
File Size : 40,6 Mb
Release : 2022-08-09
Category : Computers
ISBN : 9781000628715

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Entropy Randomization in Machine Learning by Yuri S. Popkov,Alexey Yu. Popkov,Yuri A. Dubnov Pdf

Entropy Randomization in Machine Learning presents a new approach to machine learning—entropy randomization—to obtain optimal solutions under uncertainty (uncertain data and models of the objects under study). Randomized machine-learning procedures involve models with random parameters and maximum entropy estimates of the probability density functions of the model parameters under balance conditions with measured data. Optimality conditions are derived in the form of nonlinear equations with integral components. A new numerical random search method is developed for solving these equations in a probabilistic sense. Along with the theoretical foundations of randomized machine learning, Entropy Randomization in Machine Learning considers several applications to binary classification, modelling the dynamics of the Earth’s population, predicting seasonal electric load fluctuations of power supply systems, and forecasting the thermokarst lakes area in Western Siberia. Features • A systematic presentation of the randomized machine-learning problem: from data processing, through structuring randomized models and algorithmic procedure, to the solution of applications-relevant problems in different fields • Provides new numerical methods for random global optimization and computation of multidimensional integrals • A universal algorithm for randomized machine learning This book will appeal to undergraduates and postgraduates specializing in artificial intelligence and machine learning, researchers and engineers involved in the development of applied machine learning systems, and researchers of forecasting problems in various fields.

Intelligent Software Methodologies, Tools and Techniques

Hamido Fujita,Guido Guizzi
Intelligent Software Methodologies Tools and Techniques Book PDF

Author : Hamido Fujita,Guido Guizzi
Publisher : Springer
Page : 636 pages
File Size : 41,8 Mb
Release : 2015-08-31
Category : Computers
ISBN : 9783319226897

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Intelligent Software Methodologies, Tools and Techniques by Hamido Fujita,Guido Guizzi Pdf

This book constitutes the best papers selection from the proceedings of the 14th International Conference on Intelligent Software Methodologies, Tools and Techniques, SoMeT 2015, held in Naples, Italy, in September 2015. The 47 full papers presented together with one short paper were carefully reviewed and selected from 118 submissions. The papers are organized in topical sections on embedded and mobile software systems, theory and application; real-time systems; requirement engineering, high-assurance and testing system; social networks and big data; cloud computing and semantic web; artificial intelligence techniques and intelligent system design; software development and integration; security and software methodologies for reliable software design; new software techniques in image processing and computer graphics; software applications systems for medical health care.

Hyperbolic Problems: Theory, Numerics, Applications

Heinrich Freistühler,Gerald Warnecke
Hyperbolic Problems Theory Numerics Applications Book PDF

Author : Heinrich Freistühler,Gerald Warnecke
Publisher : Birkhäuser
Page : 481 pages
File Size : 52,9 Mb
Release : 2013-12-01
Category : Mathematics
ISBN : 9783034883702

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Hyperbolic Problems: Theory, Numerics, Applications by Heinrich Freistühler,Gerald Warnecke Pdf

The Eighth International Conference on Hyperbolic Problems - Theory, Nu merics, Applications, was held in Magdeburg, Germany, from February 27 to March 3, 2000. It was attended by over 220 participants from many European countries as well as Brazil, Canada, China, Georgia, India, Israel, Japan, Taiwan, und the USA. There were 12 plenary lectures, 22 further invited talks, and around 150 con tributed talks in parallel sessions as well as posters. The speakers in the parallel sessions were invited to provide a poster in order to enhance the dissemination of information. Hyperbolic partial differential equations describe phenomena of material or wave transport in physics, biology and engineering, especially in the field of fluid mechanics. Despite considerable progress, the mathematical theory is still strug gling with fundamental open problems concerning systems of such equations in multiple space dimensions. For various applications the development of accurate and efficient numerical schemes for computation is of fundamental importance. Applications touched in these proceedings concern one-phase and multiphase fluid flow, phase transitions, shallow water dynamics, elasticity, extended ther modynamics, electromagnetism, classical and relativistic magnetohydrodynamics, cosmology. Contributions to the abstract theory of hyperbolic systems deal with viscous and relaxation approximations, front tracking and wellposedness, stability ofshock profiles and multi-shock patterns, traveling fronts for transport equations. Numerically oriented articles study finite difference, finite volume, and finite ele ment schemes, adaptive, multiresolution, and artificial dissipation methods.

Advances in Intelligent Networking and Collaborative Systems

Leonard Barolli,Kin Fun Li,Hiroyoshi Miwa
Advances in Intelligent Networking and Collaborative Systems Book PDF

Author : Leonard Barolli,Kin Fun Li,Hiroyoshi Miwa
Publisher : Springer Nature
Page : 517 pages
File Size : 41,7 Mb
Release : 2020-08-20
Category : Technology & Engineering
ISBN : 9783030577964

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Advances in Intelligent Networking and Collaborative Systems by Leonard Barolli,Kin Fun Li,Hiroyoshi Miwa Pdf

This book aims to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, etc., as well as to reveal synergies among various paradigms in such a multi-disciplinary field intelligent collaborative systems. With the fast development of the Internet, we are experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm, which locates people at the very centre of networks and exploits the value of people's connections, relations and collaboration. Social networks are also playing a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems. Virtual campuses, virtual communities and organizations strongly leverage intelligent networking and collaborative systems by a great variety of formal and informal electronic relations, such as business-to-business, peer-to-peer and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and in an autonomous way. In addition, latest and powerful technologies based on grid and wireless infrastructure as well as cloud computing are currently enhancing collaborative and networking applications as a great deal but also facing new issues and challenges. The principal purpose of the research and development community is to stimulate research that will lead to the creation of responsive environments for networking and, at longer-term, the development of adaptive, secure, mobile and intuitive intelligent systems for collaborative work and learning.

High-Dimensional Probability

Roman Vershynin
High Dimensional Probability Book PDF

Author : Roman Vershynin
Publisher : Cambridge University Press
Page : 299 pages
File Size : 53,7 Mb
Release : 2018-09-27
Category : Business & Economics
ISBN : 9781108415194

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High-Dimensional Probability by Roman Vershynin Pdf

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Geometric Structure of High-Dimensional Data and Dimensionality Reduction

Jianzhong Wang
Geometric Structure of High Dimensional Data and Dimensionality Reduction Book PDF

Author : Jianzhong Wang
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 43,8 Mb
Release : 2012-04-28
Category : Computers
ISBN : 9783642274978

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Geometric Structure of High-Dimensional Data and Dimensionality Reduction by Jianzhong Wang Pdf

"Geometric Structure of High-Dimensional Data and Dimensionality Reduction" adopts data geometry as a framework to address various methods of dimensionality reduction. In addition to the introduction to well-known linear methods, the book moreover stresses the recently developed nonlinear methods and introduces the applications of dimensionality reduction in many areas, such as face recognition, image segmentation, data classification, data visualization, and hyperspectral imagery data analysis. Numerous tables and graphs are included to illustrate the ideas, effects, and shortcomings of the methods. MATLAB code of all dimensionality reduction algorithms is provided to aid the readers with the implementations on computers. The book will be useful for mathematicians, statisticians, computer scientists, and data analysts. It is also a valuable handbook for other practitioners who have a basic background in mathematics, statistics and/or computer algorithms, like internet search engine designers, physicists, geologists, electronic engineers, and economists. Jianzhong Wang is a Professor of Mathematics at Sam Houston State University, U.S.A.

Machine Learning and Knowledge Discovery in Databases

Walter Daelemans,Katharina Morik
Machine Learning and Knowledge Discovery in Databases Book PDF

Author : Walter Daelemans,Katharina Morik
Publisher : Springer
Page : 698 pages
File Size : 45,8 Mb
Release : 2008-08-17
Category : Computers
ISBN : 9783540874812

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Machine Learning and Knowledge Discovery in Databases by Walter Daelemans,Katharina Morik Pdf

This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Trends and Applications in Knowledge Discovery and Data Mining

Wei Lu,Kenny Q. Zhu
Trends and Applications in Knowledge Discovery and Data Mining Book PDF

Author : Wei Lu,Kenny Q. Zhu
Publisher : Springer Nature
Page : 193 pages
File Size : 50,8 Mb
Release : 2020-10-14
Category : Computers
ISBN : 9783030604707

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Trends and Applications in Knowledge Discovery and Data Mining by Wei Lu,Kenny Q. Zhu Pdf

This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, in Singapore, Singapore, in May 2020. The 17 revised full papers presented were carefully reviewed and selected from a total of 50 submissions. The five workshops were as follows: · First International Workshop on Literature-Based Discovery (LBD 2020) · Workshop on Data Science for Fake News (DSFN 2020) · Learning Data Representation for Clustering (LDRC 2020) · Ninth Workshop on Biologically Inspired Techniques for Data Mining (BDM · 2020) · First Pacific Asia Workshop on Game Intelligence & Informatics (GII 2020)

Machine Learning and Data Mining

Igor Kononenko,Matjaz Kukar
Machine Learning and Data Mining Book PDF

Author : Igor Kononenko,Matjaz Kukar
Publisher : Horwood Publishing
Page : 484 pages
File Size : 48,9 Mb
Release : 2007-04-30
Category : Computers
ISBN : 1904275214

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Machine Learning and Data Mining by Igor Kononenko,Matjaz Kukar Pdf

Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. Written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining, this text is suitable foradvanced undergraduates, postgraduates and tutors in a wide area of computer science and technology, as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to libraries and bookshelves of the many companies who are using the principles of data mining to effectively deliver solid business and industry solutions.