Introductory textbook presenting relational methods in machine learning.
"Sinopsis" puede pertenecer a otra edición de este libro.
M. E. Mueller is a Professor of Computer Science at the Bonn-Rhein-Sieg University of Applied Sciences.
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 5,75 gastos de envío desde Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envíoGRATIS gastos de envío en Estados Unidos de America
Destinos, gastos y plazos de envíoLibrería: AwesomeBooks, Wallingford, Reino Unido
Hardcover. Condición: Very Good. Relational Knowledge Discovery This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Nº de ref. del artículo: 7719-9780521190213
Cantidad disponible: 1 disponibles
Librería: Bahamut Media, Reading, Reino Unido
Hardcover. Condición: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Nº de ref. del artículo: 6545-9780521190213
Cantidad disponible: 1 disponibles
Librería: Labyrinth Books, Princeton, NJ, Estados Unidos de America
Condición: Very Good. Nº de ref. del artículo: 150111
Cantidad disponible: 1 disponibles
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
Hardcover. Condición: new. Hardcover. What is knowledge and how is it represented? This book focuses on the idea of formalising knowledge as relations, interpreting knowledge represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a brief introduction to representational issues, the author develops a relational language for abstract machine learning problems. He then uses this language to discuss traditional methods such as clustering and decision tree induction, before moving onto two previously underestimated topics that are just coming to the fore: rough set data analysis and inductive logic programming. Its clear and precise presentation is ideal for undergraduate computer science students. The book will also interest those who study artificial intelligence or machine learning at the graduate level. Exercises are provided and each concept is introduced using the same example domain, making it easier to compare the individual properties of different approaches. What is knowledge and how is it represented? This introductory textbook presents relational methods in machine learning. Its clear and precise presentation is ideal for undergraduate computer science students and it will also interest those who study artificial intelligence or machine learning at the graduate level. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780521190213
Cantidad disponible: 1 disponibles
Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Nº de ref. del artículo: I-9780521190213
Cantidad disponible: Más de 20 disponibles
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9780521190213_new
Cantidad disponible: Más de 20 disponibles
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 680. Nº de ref. del artículo: C9780521190213
Cantidad disponible: Más de 20 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Hardcover. Condición: Brand New. 271 pages. 10.00x7.00x0.50 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __0521190215
Cantidad disponible: 1 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 278 1st Edition. Nº de ref. del artículo: 264660911
Cantidad disponible: 4 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand pp. 278 50 Illus. Nº de ref. del artículo: 3187056
Cantidad disponible: 4 disponibles