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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.
2016
2016
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets
In this paper, we introduce a new hierarchical model for human action recognition using body joint locations. Our model can… 
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… 
2011
2011
Correspondence driven adaptation for human profile recognition
Visual recognition systems for videos using statistical learning models often show degraded performance when being deployed to a… 
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… 
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
Template Co-update in Multimodal Biometric Systems
Performances of biometric recognition systems can degrade quickly when the input biometric traits exhibit substantial variations… 
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… 
2003
2003
OLERA: A Semi-supervised Approach for Web Data Extraction with Visual Support
Information extraction (IE) from semi-structured Web documents plays an important role for a variety of information agents. Over… 
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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