Semi-supervised learning / [edited by] Olivier Chapelle, Bernhard Schölkopf, Alexander Zien.

Format:

Book

Contributor:

Chapelle, Olivier.

Schölkopf, Bernhard.

Zien, Alexander.

Series:

Adaptive computation and machine learning.

Adaptive computation and machine learning

Language:

English

Subjects (All):

Supervised learning (Machine learning).

Physical Description:

1 online resource (528 p.)

Edition:

1st ed.

Place of Publication:

Cambridge, Mass. : MIT Press, c2006.

Language Note:

English

Summary:

A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems, this text looks at state-of-the-art algorithms, applications benchmark experiments, and directions for future research.

Contents:

Contents; Series Foreword; Preface; 1 - Introduction to Semi-Supervised Learning; 2 - A Taxonomy for Semi-Supervised Learning Methods; 3 - Semi-Supervised Text Classification Using EM; 4 - Risks of Semi-Supervised Learning: How Unlabeled Data Can Degrade Performance of Generative Classifiers; 5 - Probabilistic Semi-Supervised Clustering with Constraints; 6 - Transductive Support Vector Machines; 7 - Semi-Supervised Learning Using Semi- Definite Programming; 8 - Gaussian Processes and the Null-Category Noise Model; 9 - Entropy Regularization; 10 - Data-Dependent Regularization

11 - Label Propagation and Quadratic Criterion12 - The Geometric Basis of Semi-Supervised Learning; 13 - Discrete Regularization; 14 - Semi-Supervised Learning with Conditional Harmonic Mixing; 15 - Graph Kernels by Spectral Transforms; 16- Spectral Methods for Dimensionality Reduction; 17 - Modifying Distances; 18 - Large-Scale Algorithms; 19 - Semi-Supervised Protein Classification Using Cluster Kernels; 20 - Prediction of Protein Function from Networks; 21 - Analysis of Benchmarks; 22 - An Augmented PAC Model for Semi- Supervised Learning

23 - Metric-Based Approaches for Semi- Supervised Regression and Classification24 - Transductive Inference and Semi-Supervised Learning; 25 - A Discussion of Semi-Supervised Learning and Transduction; References; Notation and Symbols; Contributors; Index

Notes:

Description based upon print version of record.

Access requires VIU IP addresses and is restricted to VIU students, faculty and staff.

Made available online by Ebrary.

OCLC-licensed vendor bibliographic record.

Includes bibliographical references (p. [479]-497).

ISBN:

1-282-09618-4

0-262-25589-8

1-4294-1408-1

OCLC:

76824411