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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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2008
2008
A new raster map product called a " seafloor character map " has been developed to describe benthic habitat, and will be produced… 
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
Objective. To evaluate the accuracy of pharmacy students compounding skills. Methods. Potassium permanganate aqueous solution… 
2005
2005
In this paper we propose to implement supervisory control by extending the plant finite state machine (FSM). Plant and supervisor… 
2003
2003
In this paper we propose a lattice-based approach intended for extracting semantics from datacubes: borders of version spaces for… 
2003
2003
Information extraction (IE) from semi-structured Web documents plays an important role for a variety of information agents. Over… 
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… 
1990
1990
Several attempts to improve recognition accuracy with the use of supervised clustering techniques are described. These techniques… 
1982
1982
Karl Weyprecht has left an unforgettable record of polar exploration, but has himself tended to be forgotten. His fame rests not…