Pruning Methods For Classification Trees

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Pruning Methods For Classification Trees

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Author : Chunyang Gai
language : en
Publisher:
Release Date : 2000

Pruning Methods For Classification Trees written by Chunyang Gai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.

Learning Classification Trees

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Author :
language : en
Publisher:
Release Date : 1991

Learning Classification Trees written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.

Scalable Classification Tree Construction

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Author : Johannes Ernst Gehrke
language : en
Publisher:
Release Date : 1999

Scalable Classification Tree Construction written by Johannes Ernst Gehrke and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.

A Treatise On Pruning Forest Ornamental Trees Tr By C S Sargent

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Author : comte Amedée Joseph Des Cars
language : en
Publisher:
Release Date : 1883

A Treatise On Pruning Forest Ornamental Trees Tr By C S Sargent written by comte Amedée Joseph Des Cars and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1883 with Ornamental trees categories.

Machine Learning Ecml 98

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Author : Claire Nedellec
language : en
Publisher: Lecture Notes in Artificial Intelligence
Release Date : 1998-04-08

Machine Learning Ecml 98 written by Claire Nedellec and has been published by Lecture Notes in Artificial Intelligence this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-04-08 with Computers categories.

This book constitutes the refereed proceedings of the 10th European Conference on Machine Learning, ECML-98, held in Chemnitz, Germany, in April 1998. The book presents 21 revised full papers and 25 short papers reporting on work in progress together with two invited contributions; the papers were selected from a total of 100 submissions. The book is divided in sections on applications of ML, Bayesian networks, feature selection, decision trees, support vector learning, multiple models for classification, inductive logic programming, relational learning, instance-based learning, clustering, genetic algorithms, reinforcement learning and neural networks.

Ijcai

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Author :
language : en
Publisher:
Release Date : 1995

Ijcai written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Artificial intelligence categories.

Ijcai 95

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Author : Christopher S. Mellish
language : en
Publisher:
Release Date : 1995

Ijcai 95 written by Christopher S. Mellish and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Artificial intelligence categories.

Classification Methods For Remotely Sensed Data Second Edition

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Author : Brandt Tso
language : en
Publisher: CRC Press
Release Date : 2009-05-12

Classification Methods For Remotely Sensed Data Second Edition written by Brandt Tso and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-12 with Business & Economics categories.

Keeping abreast of new developments, this new edition provides a comprehensive and up-to-date review of the entire field of classification methods applied to remotely sensed data. It provides seven fully revised chapters and two new chapters covering support vector machines (SVM) and decision trees.

Selecting Models From Data

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Author : P. Cheeseman
language : en
Publisher: Springer
Release Date : 1994-05-27

Selecting Models From Data written by P. Cheeseman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-05-27 with Mathematics categories.

This volume is a selection of papers presented at the Fourth International Workshop on Artificial Intelligence and Statistics held in January 1993. These biennial workshops have succeeded in bringing together researchers from Artificial Intelligence and from Statistics to discuss problems of mutual interest. The exchange has broadened research in both fields and has strongly encour aged interdisciplinary work. The theme ofthe 1993 AI and Statistics workshop was: "Selecting Models from Data". The papers in this volume attest to the diversity of approaches to model selection and to the ubiquity of the problem. Both statistics and artificial intelligence have independently developed approaches to model selection and the corresponding algorithms to implement them. But as these papers make clear, there is a high degree of overlap between the different approaches. In particular, there is agreement that the fundamental problem is the avoidence of "overfitting"-Le., where a model fits the given data very closely, but is a poor predictor for new data; in other words, the model has partly fitted the "noise" in the original data.

Knowledge Acquisition For Knowledge Based Systems

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Author : Brian R. Gaines
language : en
Publisher: London ; Toronto : Academic Press
Release Date : 1988

Knowledge Acquisition For Knowledge Based Systems written by Brian R. Gaines and has been published by London ; Toronto : Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Computers categories.

The American Association for Artificial Intelligence sponsored the first Knowledge Acquistion for Knowledge-Based Systems Workshop (KAW) in order to increase the limited communication between knowledge acquisition researchers and help reduce the substantial duplication of their efforts. Organized by John Boose and Brian Gaines, this workshop was held from November 3-7, 1986 in Banff, Canada. These two volumes contain a wide range of material representing foundational work in knowledge acquisition problems, techniques, and tools from the major research groups worldwide. The first volume, Knowledge Acquisition for Knowledge-Based Systems, contains fundamental material, while the second volume, Knowledge Acquisition Tools for Expert Systems, includes tool-oriented material.