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Supervised learning

Known as: Fully-supervised machine learning, Supervised Machine Learning, Supervised classification 
Supervised learning is the machine learning task of inferring a function from labeled training data. The training data consist of a set of training… 
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Papers overview

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2014
2014
We devised a semiautomatic approach for extracting lake features based on a customized set of normalized difference water index… 
2013
2013
Unlike conventional “one shot” biometric authentication schemes, continuous authentication has a number of advantages, such as… 
2009
2009
Teachers in e-learning play a crucial role as facilitators of the students' learning experiences. To this end, a teacher needs to… 
2008
2008
Think about a clinical teaching session that you supervised recently. How much feedback did you provide? How useful do you think… 
Highly Cited
2007
Highly Cited
2007
Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory… 
2005
2005
In this paper we propose to implement supervisory control by extending the plant finite state machine (FSM). Plant and supervisor… 
Highly Cited
2001
Highly Cited
2001
2000
2000
We describe in this paper the use of fuzzy integral in problems of supervised classification. The approach, which can be viewed… 
1986
1986
The architecture of a multicomputer system with switchable main memory modules (SM3) is presented. This architecture supports the… 
1982
1982
Karl Weyprecht has left an unforgettable record of polar exploration, but has himself tended to be forgotten. His fame rests not…