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Machine learning

Known as: Adaptive machine learning, Statistical learning, Learning algorithms 
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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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Python Machine Learning
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsAbout This BookLeverage… 
Highly Cited
2015
Highly Cited
2015
Optimal graph learning with partial tags and multiple features for image and video annotation
In multimedia annotation, due to the time constraints and the tediousness of manual tagging, it is quite common to utilize both… 
Review
2013
Review
2013
An Introduction to Statistical Learning: with Applications in R
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential… 
Highly Cited
2013
Highly Cited
2013
Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer
Single-sample face recognition is one of the most challenging problems in face recognition. We propose a novel face recognition… 
Highly Cited
2012
Highly Cited
2012
The role of Twitter during a natural disaster: Case study of 2011 Thai Flood
With the emergence of Web 2.0, social media became a key platform that allowed people to interact and share information. Unlike… 
Highly Cited
2005
Highly Cited
2005
Analyzing Behavioral Features for Email Classification
Many researchers have applied statistical analysis techniques to email for classification purposes, such as identifying spam… 
Highly Cited
2005
Highly Cited
2005
Using Names and Topics for New Event Detection
New Event Detection (NED) involves monitoring chronologically-ordered news streams to automatically detect the stories that… 
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
1993
Highly Cited
1993
Knowledge Extraction from Self-Organizing Neural Networks
In this work we present the integration of neural networks with a rule based expert system. The system realizes the automatic… 
Highly Cited
1989
Highly Cited
1989
Artificial neural networks for power system static security assessment
An artificial neural network (ANN) is used to assess the static security of a test system. It is demonstrated that an ANN can be… 
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