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Record Nr. |
UNINA9910809030503321 |
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Titolo |
Semi-supervised learning / / [edited by] Olivier Chapelle, Bernhard Sch?olkopf, Alexander Zien |
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Pubbl/distr/stampa |
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Cambridge, Mass., : MIT Press, c2006 |
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ISBN |
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1-282-09618-4 |
0-262-25589-8 |
1-4294-1408-1 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (528 p.) |
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Collana |
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Adaptive computation and machine learning |
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Altri autori (Persone) |
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ChapelleOlivier |
Sch?olkopfBernhard |
ZienAlexander |
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Disciplina |
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Soggetti |
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Supervised learning (Machine learning) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. [479]-497). |
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Nota di contenuto |
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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 |
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