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

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Machine learning

Papers overview

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2015
2015
Ego-object discovery
Lifelogging devices are spreading faster everyday. This growth can represent great benefits to develop methods for extraction of… 
2014
2014
Anomaly detection in online social networks : using data-mining techniques and fuzzy logic
This research is a step forward in improving the accuracy of detecting anomaly in a data graph representing connectivity between… 
2012
2012
Low-energy Formulations of Support Vector Machine Kernel Functions for Biomedical Sensor Applications
Although physiologically-indicative signals can be acquired in low-power biomedical sensors, their accurate analysis imposes… 
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… 
2008
2008
Semi-supervised Probabilistic Distance Clustering and the Uncertainty of Classification
Semi-supervised clustering is an attempt to reconcile clustering (unsupervised learning) and classification (supervised learning… 
2008
2008
Semi-supervised Classification Using Local and Global Regularization
In this paper, we propose a semi-supervised learning (SSL) algorithm based on local and global regularization. In the local… 
2006
2006
A semi-supervised Spam mail detector
This document describes a novel semi-supervised approach to spam classification, which was successful at the ECML/PKDD 2006 spam… 
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… 
1998
1998
Value Profiling for Instructions and Memory Locations
OF THE THESIS Value Pro ling for Instructions and Memory Locations by Peter Feller Master of Science in Computer Engineering…