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Semi-supervised learning

Known as: SSL, Semi supervised learning, Semisupervised learning 
Semi-supervised learning is a class of supervised learning tasks and techniques that also make use of unlabeled data for training – typically a small… 
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Related topics

Related topics

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Active learning (machine learning)Classic monolingual word-sense disambiguationCo-trainingConcept learning

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
BUT 2014 Babel system: analysis of adaptation in NN based systems
Features based on a hierarchy of neural networks with compressive layers – Stacked Bottle-Neck (SBN) features – were recently… 
2010
2010
Semi-supervised Learning for SVM-KNN
Compared with labeled data, unlabeled data are significantly easier to obtain. Currently, classification of unlabeled data is an… 
2010
2010
Assessing the Challenge of Fine-Grained Named Entity Recognition and Classification
Named Entity Recognition and Classification (NERC) is a well-studied NLP task typically focused on coarse-grained named entity… 
2010
2010
Classification by semi-supervised discriminative regularization
Highly Cited
2007
Highly Cited
2007
Software quality estimation with limited fault data: a semi-supervised learning perspective
We addresses the important problem of software quality analysis when there is limited software fault or fault-proneness data. A… 
2007
2007
Typicality ranking via semi-supervised multiple-instance learning
Most of the existing methods for natural scene categorization only consider whether a sample is relevant or irrelevant to a… 
2007
2007
Subtree Mining for Question Classification Problem
Question Classification, i.e., putting the questions into several semantic categories, is very important for question answering… 
Highly Cited
2006
Highly Cited
2006
Data Selection in Semi-supervised Learning for Name Tagging
We present two semi-supervised learning techniques to improve a state-of-the-art multi-lingual name tagger. For English and… 
2003
2003
Multiscale segmentation of the aorta in 3D ultrasound images
Fast, reliable segmentation of the abdominal aorta from three dimensional ultrasound remains a difficult problem. Standard… 
2000
2000
A Semi-implicit Semi-Lagrangian Finite-Element Shallow-Water Ocean Model
Abstract The finite-element, semi-implicit, and semi-Lagrangian methods are combined together to solve the shallow-water… 
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