Who Cited It

Semi-Supervised Learning

2006 · The MIT Press eBooks · 4,334 citations · 11 from inside this corpus

Olivier Chapelle, Alexander Zien low

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Semi-Supervised Learning (2006)Semi-Supervised LearningSupport-vector networks (1995)Support-vector networksThe Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…Support-Vector Networks (1995)Support-Vector NetworksStatistical Learning Theory (1999)Statistical Learning TheoryBagging Predictors (1996)Bagging PredictorsIndexing by latent semantic analysis (1990)Indexing by latent semantic a…Neural Networks for Pattern Recognition (1995)Neural Networks for Pattern R…Modern Information Retrieval (1999)Modern Information RetrievalA Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection (1995)A Study of Cross-Validation a…Identification of common molecular subsequences (1981)Identification of common mole…Generalized Additive Models. (1991)Generalized Additive Models.Solutions of Ill-Posed Problems. (1978)Solutions of Ill-Posed Proble…An algorithm for suffix stripping (1980)An algorithm for suffix strip…Nonlinear Component Analysis as a Kernel Eigenvalue Problem (1998)Nonlinear Component Analysis …Text categorization with Support Vector Machines: Learning with many relevant features (1998)Text categorization with Supp…Generalized Additive Models. (1991)Generalized Additive Models.Pattern Recognition and Neural Networks (1996)Pattern Recognition and Neura…Combining labeled and unlabeled data with co-training (1998)Combining labeled and unlabel…Divergence measures based on the Shannon entropy (1991)Divergence measures based on …Bayesian Network Classifiers (1997)Bayesian Network ClassifiersRandom variables and stochastic processes (1979)A STATISTICAL INTERPRETATION OF TERM SPECIFICITY AND ITS APPLICATION IN RETRIEVAL (1972)A STATISTICAL INTERPRETATION …An Introduction to Support Vector Machines (2000)An Introduction to Support Ve…Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms (1998)Approximate Statistical Tests…Learning with Local and Global Consistency (2003)Learning with Local and Globa…The Graph Neural Network Model (2008)The Graph Neural Network ModelData clustering: 50 years beyond K-means (2009)Data clustering: 50 years bey…Semi-Supervised Learning Literature Survey (2005)Semi-Supervised Learning Lite…Bootstrap your own latent: A new approach to self-supervised Learning (2020)Bootstrap your own latent: A …Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex… (2006)Manifold Regularization: A Ge…A survey on semi-supervised learning (2019)A survey on semi-supervised l…FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence (2020)FixMatch: Simplifying Semi-Su…Why Does Unsupervised Pre-training Help Deep Learning? (2010)Why Does Unsupervised Pre-tra…A brief introduction to weakly supervised learning (2017)Introduction to Semi-Supervised Learning (2009)Introduction to Semi-Supervis…Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly (2018)
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What this paper cites, inside the corpus

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Topics

Machine Learning and Data ClassificationComputer Science
Text and Document Classification TechnologiesComputer Science
Machine Learning and AlgorithmsComputer Science

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complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports2 author record(s) attached.
  • supports475 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:46+00:00.

sha256 bba2969b3567609a…