Artículos relacionados a Logic for Learning: Learning Comprehensible Theories...
Logic for Learning: Learning Comprehensible Theories from Structured Data (Cognitive Technologies) - Tapa dura
Sinopsis
This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those interested in computational logic, it provides a framework for knowledge representation and computation based on higher-order logic, and demonstrates its advantages over more standard approaches based on first-order logic. For those interested in machine learning, the book explains how higher-order logic provides suitable knowledge representation formalisms and hypothesis languages for machine learning applications.
"Sinopsis" puede pertenecer a otra edición de este libro.
Críticas
From the reviews of the third edition:
"John has tried his hand at machine learning, and his aim in Logic for Learning is to demonstrate ‘the rich and fruitful interplay between the fields of computational logic and machine learning’. ... As such, the book is more geared towards computational logicians who are interested in machine learning ... . The book can also be used as a textbook in a mathematically oriented advanced graduate course. ... it is indeed great stuff, which deserves to be taken serious by any computational logician ... ." (Peter Flach, TLP – Theory and Practice of Logic Programming, Issue 4, 2004)
From the reviews:
"This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. It is aimed at researchers, graduate students, and senior undergraduates working in computational logic and/or machine learning." (PHINEWS, Vol. 3, April, 2003)
Reseña del editor
This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those interested in computational logic, it provides a framework for knowledge representation and computation based on higher-order logic, and demonstrates its advantages over more standard approaches based on first-order logic. For those interested in machine learning, the book explains how higher-order logic provides suitable knowledge representation formalisms and hypothesis languages for machine learning applications.
"Sobre este título" puede pertenecer a otra edición de este libro.
Comprar nuevo
Ver este artículo
EUR 52,37
EUR 3,41 gastos de envío en Estados Unidos de America
Destinos, gastos y plazos de envío
Resultados de la búsqueda para Logic for Learning: Learning Comprehensible Theories...
Imagen de archivo
Logic For Learning
Librería: Swan Trading Company, GEORGETOWN, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
hardcover. Condición: Good. Hardcover ex-library with typical marks shows moderate cover wear. Text is unmarked. Ships FAST! Nº de ref. del artículo: 2411200017
Cantidad disponible: 1 disponibles
Imagen de archivo
Logic For Learning
Librería: Amazing Books Pittsburgh, Pittsburgh, PA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
hardcover. Condición: Very Good. prev owners name on first page in pen. otherwise clean, sturdy, and unmarked - rw. Nº de ref. del artículo: Sq39502
Cantidad disponible: 1 disponibles
Imagen del vendedor
Logic for Learning: Learning Comprehensible Theories from Structured Data (Cognitive Technologies)
Librería: Roland Antiquariat UG haftungsbeschränkt, Weinheim, Alemania
Calificación del vendedor: 5 de 5 estrellas
2003. 267 p. Unread book. Like new. 9783540420279 Sprache: Englisch Gewicht in Gramm: 522 Hardcover: 23.4 x 1.6 x 15.6 cm. Nº de ref. del artículo: 201575
Gastos de envío:
EUR 14,95
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles
Imagen de archivo
Logic for Learning: Learning Comprehensible Theories from Structured Data (Cognitive Technologies)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020166869
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Logic and Learning : Learning Comprehensible Theories from Structured Data
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 980623-n
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Logic for Learning (Hardcover)
Publicado por
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2003
ISBN 10: 3540420274
ISBN 13: 9783540420279
Nuevo
Tapa dura
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. This book is concerned with the rich and fruitful interplay between the fields of computational logic and machine learning. The intended audience is senior undergraduates, graduate students, and researchers in either of those fields. For those in computational logic, no previous knowledge of machine learning is assumed, and for those in machine learning no previous knowledge of computational logic is assumed. The logic used throughout the book is a higher-order one, since higher-order functions can have other functions as arguments and this capability can be exploited to provide abstractions for knowledge representation, methods for constructing predicates, and a foundation for logic-based computation. The book should be of interest to researchers in machine learning, especially those who study learning methods for structured data. Throughout, great emphasis is placed on learning comprehensible theories. The book serves as an introduction for computational logicians to machine learning, a particularly interesting and important application area of logic, and also provides a foundation for functional logic programming languages. This book provides an approach to knowledge representation, computation, and learning using higher-order logic. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783540420279
Cantidad disponible: 1 disponibles
Imagen de archivo
Logic for Learning: Learning Comprehensible Theories from Structured Data (Cognitive Technologies)
Librería: Best Price, Torrance, CA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. SUPER FAST SHIPPING. Nº de ref. del artículo: 9783540420279
Cantidad disponible: 2 disponibles
Imagen del vendedor
Logic and Learning : Learning Comprehensible Theories from Structured Data
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 980623
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Logic for Learning: Learning Comprehensible Theories from Structured Data.
Publicado por
Berlin Springer Verlag, 2003
ISBN 10: 3540420274
ISBN 13: 9783540420279
Antiguo o usado
Tapa dura
Librería: CSG Onlinebuch GMBH, Darmstadt, Alemania
Calificación del vendedor: 5 de 5 estrellas
Gebunden. Condición: Gut. Gebraucht - Gut Zustand: Gut, Mängelexemplar, X, 256 p. 14 illus. About this book: This book is concerned with the rich and fruitful interplay between the fields of computational logic and machine learning. The intended audience is senior undergraduates, graduate students, and researchers in either of those fields. For those in computational logic, no previous knowledge of machine learning is assumed, and for those in machine learning no previous knowledge of computational logic is assumed.The logic used throughout the book is a higher-order one, since higher-order functions can have other functions as arguments and this capability can be exploited to provide abstractions for knowledge representation, methods for constructing predicates, and a foundation for logic-based computation. The book should be of interest to researchers in machine learning, especially those who study learning methods for structured data. Throughout, great emphasis is placed on learning comprehensible theories. The book serves as an introduction for computational logicians to machine learning, a particularly interesting and important application area of logic, and also provides a foundation for functional logic programming languages. Written for advanced students, researchers, scientists. Nº de ref. del artículo: 18644
Gastos de envío:
EUR 35,00
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles
Imagen del vendedor
Logic for Learning - Cognitive Technologies - Learning Comprehensible Theories from Structured Data
Publicado por
Springer, Germany, 2003
ISBN 10: 3540420274
ISBN 13: 9783540420279
Antiguo o usado
Tapa dura
Librería: Literary Cat Books, Machynlleth, Powys, WALES, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Hardcover. Condición: Near Fine. Estado de la sobrecubierta: No Dust Jacket. (?); (?). This textbook presents a systematic approach to knowledge representation, computation, and learning using higher-order logic. It is aimed at researchers, graduate students, and senior undergraduates working in computational logic and/or machine learning. The book does not assume previous knowledge of either field. It is part of the Springer series Cognitive Technologies, which addresses subjects including natural-language processing, high-level computer vision, cognitive robotics, automated reasoning, and knowledge representation. ; 16x23.5x2cm; 267 pages. Nº de ref. del artículo: 64612
Gastos de envío:
EUR 16,06
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles