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Author: Robert E. Schapire
Publisher: MIT Press
ISBN: 0262526034
Category : Computers
Languages : en
Pages : 544
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Book Description
An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate “rules of thumb.” A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. This book, written by the inventors of the method, brings together, organizes, simplifies, and substantially extends two decades of research on boosting, presenting both theory and applications in a way that is accessible to readers from diverse backgrounds while also providing an authoritative reference for advanced researchers. With its introductory treatment of all material and its inclusion of exercises in every chapter, the book is appropriate for course use as well. The book begins with a general introduction to machine learning algorithms and their analysis; then explores the core theory of boosting, especially its ability to generalize; examines some of the myriad other theoretical viewpoints that help to explain and understand boosting; provides practical extensions of boosting for more complex learning problems; and finally presents a number of advanced theoretical topics. Numerous applications and practical illustrations are offered throughout.
Author: Robert E. Schapire
Publisher: MIT Press
ISBN: 0262526034
Category : Computers
Languages : en
Pages : 544
Get Book Here
Book Description
An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate “rules of thumb.” A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. This book, written by the inventors of the method, brings together, organizes, simplifies, and substantially extends two decades of research on boosting, presenting both theory and applications in a way that is accessible to readers from diverse backgrounds while also providing an authoritative reference for advanced researchers. With its introductory treatment of all material and its inclusion of exercises in every chapter, the book is appropriate for course use as well. The book begins with a general introduction to machine learning algorithms and their analysis; then explores the core theory of boosting, especially its ability to generalize; examines some of the myriad other theoretical viewpoints that help to explain and understand boosting; provides practical extensions of boosting for more complex learning problems; and finally presents a number of advanced theoretical topics. Numerous applications and practical illustrations are offered throughout.
Author: Louise Pound
Publisher:
ISBN:
Category : Americanisms
Languages : en
Pages : 744
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Book Description
Author: Robert E. Schapire
Publisher: MIT Press
ISBN: 0262300397
Category : Computers
Languages : en
Pages : 544
Get Book Here
Book Description
An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate “rules of thumb.” A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. This book, written by the inventors of the method, brings together, organizes, simplifies, and substantially extends two decades of research on boosting, presenting both theory and applications in a way that is accessible to readers from diverse backgrounds while also providing an authoritative reference for advanced researchers. With its introductory treatment of all material and its inclusion of exercises in every chapter, the book is appropriate for course use as well. The book begins with a general introduction to machine learning algorithms and their analysis; then explores the core theory of boosting, especially its ability to generalize; examines some of the myriad other theoretical viewpoints that help to explain and understand boosting; provides practical extensions of boosting for more complex learning problems; and finally presents a number of advanced theoretical topics. Numerous applications and practical illustrations are offered throughout.
Author:
Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 1100
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Book Description
Author:
Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 1174
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Book Description
Author: John Ames Mitchell
Publisher:
ISBN:
Category :
Languages : en
Pages : 1194
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Book Description
Author: OECD
Publisher: OECD Publishing
ISBN: 926421061X
Category :
Languages : en
Pages : 289
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Book Description
In this book, competitiveness is viewed as a multifaceted concept comprising aspects of the economy and society needed to implement change and move toward sustainable convergence.
Author: Apurba Giri
Publisher: CRC Press
ISBN: 1000485978
Category : Medical
Languages : en
Pages : 226
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Book Description
In this book, several functional foods or food ingredients, their mechanism of immune enhancing properties and use in food products have been discussed through seventeen chapters written by eminent authors. There are several medicinal plants which have significant role for immunity boosting such as Ashwagandha, Tulsi, Shatavari, Giloy, Aloe vera, Amla, Neem, licorice, garlic, ginger, turmeric, rosemary, black cumin, cinnamon, sage, thyme,fenugreek, peppermint, black pepper, clove etc. These have been discussed in detail. Note: T&F does not sell or distribute the hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka.
Author: Marie-Nathalie Beaudoin
Publisher: Corwin Press
ISBN: 1452258368
Category : Education
Languages : en
Pages : 248
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Book Description
Proven, brain-based techniques that build social and emotional intelligence and problem-solving skills For a child to thrive in school today and succeed in life tomorrow, there's no more important quality than social and emotional intelligence. Since children's brains are still developing during the K-12 years, educators can positively influence students' development, including strengthening essential skills such as empathy, self-management and problem-solving. Dr. Marie-Nathalie Beaudoin, one of the world's leading experts on children and brain development, shares award- winning techniques that connect with students' lives and concerns. Readers will find: A research-based approach refined through ongoing work in public schools Classroom exercises grouped by age, but adaptable for all grade levels Lively activities that keep students engaged Valuable content for anti-bullying initiatives and counseling programs This new guide is an essential resource for teachers, counselors and other K-12 educators, helping them to positively shape classroom dynamics and school culture.
Author: Susan Daniels
Publisher: SCB Distributors
ISBN: 1953360211
Category : Family & Relationships
Languages : en
Pages : 228
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Book Description
Take a deep dive into what creativity is, how it manifests itself, and how to support and nurture your child's (and perhaps your own!) creativity. Written for parents and teachers, Boosting Your Child's Natural Creativity is a guide to fostering creativity and sustaining the creative spirit in children both at home and at school. Creativity is both a capacity we are born with and a skill that we can further develop. In his fully revised and updated edition, the authors describe various theories of creativity, personality traits, programs, processes, and products that foster creativity. Filled with examples and practical suggestions, this exciting book describes parenting for creativity, teaching organizational skills, and ways to preserve and enhance one's own creativity.
