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Machine learning
Known as:
Adaptive machine learning
, Statistical learning
, Learning algorithms
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Machine learning is the subfield of computer science that "gives computers the ability to learn without being explicitly programmed" (Arthur Samuel…
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50 relations
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AI takeover
Anticipation (artificial intelligence)
Basis function
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Python Machine Learning
Sebastian Raschka
2015
Corpus ID: 268088053
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsAbout This BookLeverage…
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Review
2013
Review
2013
An Introduction to Statistical Learning: with Applications in R
D. Witten
2013
Corpus ID: 31693416
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential…
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Highly Cited
2013
Highly Cited
2013
Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer
Liansheng Zhuang
,
A. Yang
,
Zihan Zhou
,
S. Sastry
,
Yi Ma
IEEE Conference on Computer Vision and Pattern…
2013
Corpus ID: 10086157
Single-sample face recognition is one of the most challenging problems in face recognition. We propose a novel face recognition…
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Highly Cited
2012
Highly Cited
2012
The role of Twitter during a natural disaster: Case study of 2011 Thai Flood
A. Kongthon
,
C. Haruechaiyasak
,
J. Pailai
,
S. Kongyoung
Proceedings of PICMET '12: Technology Management…
2012
Corpus ID: 7688729
With the emergence of Web 2.0, social media became a key platform that allowed people to interact and share information. Unlike…
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Highly Cited
2010
Highly Cited
2010
A geometric approach to improve spectrum efficiency for cognitive relay networks
Min Xie
,
Wei Zhang
,
Kai‐Kit Wong
IEEE Transactions on Wireless Communications
2010
Corpus ID: 6939637
Cognitive radio (CR) enables dynamic spectrum access (DSA). In CR networks (CRNs), unlicensed cognitive users (CUs) can share the…
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Highly Cited
2010
Highly Cited
2010
Refining non-taxonomic relation labels with external structured data to support ontology learning
A. Weichselbraun
,
G. Wohlgenannt
,
A. Scharl
Data & Knowledge Engineering
2010
Corpus ID: 14507416
Highly Cited
2008
Highly Cited
2008
Numerical solution of a system of fuzzy polynomials by fuzzy neural network
S. Abbasbandy
,
M. Otadi
,
M. Mosleh
Information Sciences
2008
Corpus ID: 33931968
Highly Cited
2007
Highly Cited
2007
Application of artificial intelligence to wireless communications
C. Bostian
,
T. Rondeau
2007
Corpus ID: 62348965
This dissertation provides the theory, design, and implementation of a cognitive engine, the enabling technology of cognitive…
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Highly Cited
2003
Highly Cited
2003
Nonlinear identification and control - a neural network approach: G.P. Liu; Springer, London, 2001, ISBN 1-85233-342-1
S. Ge
at - Automatisierungstechnik
2003
Corpus ID: 2999920
Highly Cited
2001
Highly Cited
2001
Grammatical Bigrams
M. Paskin
Neural Information Processing Systems
2001
Corpus ID: 1311225
Unsupervised learning algorithms have been derived for several statistical models of English grammar, but their computational…
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