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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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Related topics
Related topics
49 relations
Anomaly detection
Backpropagation
Bias–variance tradeoff
Bioinformatics
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
The Munich 2011 CHiME Challenge Contribution: NMF-BLSTM Speech Enhancement and Recognition for Reverberated Multisource Environments
F. Weninger
,
Jürgen T. Geiger
,
M. Wöllmer
,
Björn Schuller
,
G. Rigoll
Interspeech
2011
Corpus ID: 13307419
We present the Munich contribution to the PASCAL ‘CHiME’ Speech Separation and Recognition Challenge: Our approach combines…
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Highly Cited
2009
Highly Cited
2009
Reducing Semantic Drift with Bagging and Distributional Similarity
Tara McIntosh
,
J. Curran
Annual Meeting of the Association for…
2009
Corpus ID: 6652223
Iterative bootstrapping algorithms are typically compared using a single set of hand-picked seeds. However, we demonstrate that…
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Highly Cited
2007
Highly Cited
2007
Graph Embedding and Extensions
YanShuicheng
,
Xudong
,
ZhangBenyu
,
ZhangHong-Jiang
,
YangQiang
,
LinStephen
2007
Corpus ID: 215883565
Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory…
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Highly Cited
2007
Highly Cited
2007
A multi-matcher for ear authentication
L. Nanni
,
A. Lumini
Pattern Recognition Letters
2007
Corpus ID: 918469
Highly Cited
2003
Highly Cited
2003
Quasi Maximum Likelihood Blind Deconvolution of Images Using Optimal Sparse Representations
A. Bronstein
,
M. Bronstein
,
M. Zibulevsky
,
Y. Zeevi
2003
Corpus ID: 2686061
A quasi maximum likelihood framework for blind deconvolution of images is presented. We generalize the relative Newton algorithm…
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Highly Cited
2001
Highly Cited
2001
Learning with labeled and unlabeled dataMatthias
M. Seeger
2001
Corpus ID: 17263459
Highly Cited
1996
Highly Cited
1996
Mapping Ecological Land Systems and Classification Uncertainties from Digital Elevation and Forest-Cover Data Using Neural Networks
P. Gong
,
R. Pu
,
J. Chen
1996
Corpus ID: 53991763
Our approaches in this project emphasized mainly the technical aspects of the land-systems classification problem with neural…
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Highly Cited
1991
Highly Cited
1991
Texture segmentation based on a hierarchical Markov random field model
R. Hu
,
M. Fahmy
., IEEE International Sympoisum on Circuits and…
1991
Corpus ID: 61286525
A novel texture segmentation technique for both supervised and unsupervised segmentation is presented. The textured images under…
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Highly Cited
1991
Highly Cited
1991
Tool condition monitoring in metal cutting: A neural network approach
L. Burke
,
S. Rangwala
Journal of Intelligent Manufacturing
1991
Corpus ID: 38174680
This paper discusses the application of neural network-based pattern recognition techniques for monitoring the metal-cutting…
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1982
1982
The first International Polar Year, 1882–83
F. Baker
Polar Record
1982
Corpus ID: 129845559
Karl Weyprecht has left an unforgettable record of polar exploration, but has himself tended to be forgotten. His fame rests not…
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