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Machine Learning Refined

Foundations, Algorithms, and Applications

Author: Jeremy Watt

Publisher: Cambridge University Press

ISBN:

Category: Computers

Page: 300

View: 985

A new, intuitive approach to machine learning, covering fundamental concepts and real-world applications, with practical MATLAB-based exercises.

A Guide to the Project Management Body of Knowledge (Pmbok Guide) -- Fifth Ed. (Arabic)

Author: Project Management Institute

Publisher: Project Management Institute

ISBN:

Category: Business & Economics

Page: 587

View: 509

A Guide to the Project Management Body of Knowledge (PMBOK Guide) Fifth Edition reflects the collaboration and knowledge of working project managers and provides the fundamentals of project management as they apply to a wide range of projects. This internationally recognized standard gives project managers the essential tools to practice project management and deliver organizational results. A 10th Knowledge Area has been added; Project Stakeholder Management expands upon the importance of appropriately engaging project stakeholders in key decisions and activities. Project data information and information flow have been redefined to bring greater consistency and be more aligned with the Data, Information, Knowledge and Wisdom (DIKW) model used in the field of Knowledge Management. Four new planning processes have been added: Plan Scope Management, Plan Schedule Management, Plan Cost Management and Plan Stakeholder Management: These were created to reinforce the concept that eac

Data Clustering

Algorithms and Applications

Author: Charu C. Aggarwal

Publisher: CRC Press

ISBN:

Category: Business & Economics

Page: 652

View: 181

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validation In this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas. They also explain how to glean detailed insight from the clustering process—including how to verify the quality of the underlying clusters—through supervision, human intervention, or the automated generation of alternative clusters.

جغرافية الفكر : كيف يفكر الغربيون و الاسيويون على نحو مختلف-و لماذا ؟

Author: Richard E. Nisbett

Publisher:

ISBN:

Category: Cognition and culture

Page: 252

View: 242

animal farm

Author: george orwell

Publisher:

ISBN:

Category: Allegories

Page: 123

View: 135

An account of the bold struggle that transforms Mr. Jone's Manor Farm into Animal Farm - a wholly democratic society built on the credo that All Animals Are Created Equal. Out of their cleverness, the pigs Napoleon, Squealer and Snowball emerge as leaders of the new community in a subtle evolution that bears an insidious familiarity. The climax is the brutal totalitarian rule is re-established with the bloodstained postscript to the founding slogan: But Some Animals Are More Equal Than Others ...

Anaphora Resolution

Algorithms, Resources, and Applications

Author: Massimo Poesio

Publisher: Springer

ISBN:

Category: Computers

Page: 508

View: 229

This book lays out a path leading from the linguistic and cognitive basics, to classical rule-based and machine learning algorithms, to today’s state-of-the-art approaches, which use advanced empirically grounded techniques, automatic knowledge acquisition, and refined linguistic modeling to make a real difference in real-world applications. Anaphora and coreference resolution both refer to the process of linking textual phrases (and, consequently, the information attached to them) within as well as across sentence boundaries, and to the same discourse referent. The book offers an overview of recent research advances, focusing on practical, operational approaches and their applications. In part I (Background), it provides a general introduction, which succinctly summarizes the linguistic, cognitive, and computational foundations of anaphora processing and the key classical rule- and machine-learning-based anaphora resolution algorithms. Acknowledging the central importance of shared resources, part II (Resources) covers annotated corpora, formal evaluation, preprocessing technology, and off-the-shelf anaphora resolution systems. Part III (Algorithms) provides a thorough description of state-of-the-art anaphora resolution algorithms, covering enhanced machine learning methods as well as techniques for accomplishing important subtasks such as mention detection and acquisition of relevant knowledge. Part IV (Applications) deals with a selection of important anaphora and coreference resolution applications, discussing particular scenarios in diverse domains and distilling a best-practice model for systematically approaching new application cases. In the concluding part V (Outlook), based on a survey conducted among the contributing authors, the prospects of the research field of anaphora processing are discussed, and promising new areas of interdisciplinary cooperation and emerging application scenarios are identified. Given the book’s design, it can be used both as an accompanying text for advanced lectures in computational linguistics, natural language engineering, and computer science, and as a reference work for research and independent study. It addresses an audience that includes academic researchers, university lecturers, postgraduate students, advanced undergraduate students, industrial researchers, and software engineers.

Sensor fusion: architectures, algorithms, and applications IV

25-28 April, 2000, Orlando, Florida

Author: Belur V. Dasarathy

Publisher: SPIE-International Society for Optical Engineering

ISBN:

Category: Science

Page: 478

View: 279

Encyclopedia of Library and Information Science: Volume 1 - Abbreviations

Accountability to Associcao Brasileira De Escolas De Biblioteconomia E Documentacao

Author: Allen Kent

Publisher: CRC Press

ISBN:

Category: Language Arts & Disciplines

Page: 688

View: 622

"The Encyclopedia of Library and Information Science provides an outstanding resource in 33 published volumes with 2 helpful indexes. This thorough reference set--written by 1300 eminent, international experts--offers librarians, information/computer scientists, bibliographers, documentalists, systems analysts, and students, convenient access to the techniques and tools of both library and information science. Impeccably researched, cross referenced, alphabetized by subject, and generously illustrated, the Encyclopedia of Library and Information Science integrates the essential theoretical and practical information accumulating in this rapidly growing field."

Machine Learning

Proceedings of the Nineteenth International Conference (ICML 2002) : University of New South Wales, Sydney, Australia, July 8-12, 2002

Author: Claude Sammut

Publisher: Morgan Kaufmann

ISBN:

Category: Computers

Page: 706

View: 934

Proceedings of the annual International Conferences on Machine Learning, 1988-present. Current volume: ICML 2002: 19th International Conference on Machine Learning. Submissions are expected that describe empirical, theoretical, and cognitive-modeling research in all areas of machine learning. Submissions that present algorithms for novel learning tasks, interdisciplinary research involving machine learning, or innovative applications of machine learning techniques to challenging, real-world problems are especially encouraged.

On the Origin of Species (Arabic Edition)

Author: Charles Darwin

Publisher: Createspace Independent Publishing Platform

ISBN:

Category:

Page: 368

View: 799

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