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Linear classifier

Known as: Classifier, Linear classification 
In the field of machine learning, the goal of statistical classification is to use an object's characteristics to identify which class (or group) it… 
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Papers overview

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2017
2017
In Data mining, Classification of data is very emblematic task. Given a vector of attributes, to predict the value of selected… 
2013
2013
An increasing number of machine learning applications involve detecting the malicious behavior of an attacker who wishes to avoid… 
2013
2013
Text mining refers to the process of deriving high quality information from text. It is also known as knowledge discovery from… 
2013
2013
The Bag-of-Visual-Words (BoVW) model is a popular approach for visual recognition. Used successfully in many different tasks… 
2009
2009
We introduce a mathematical framework, based on the L-infinity norm distance metric, to describe human interactions in a visual… 
2008
2008
This paper describes an approach to classify people, groups of people and luggage in the halls of an airport. The algorithm is… 
2007
2007
Abstract : In this thesis, an autonomous feature extraction algorithm for classification of Low Probability of Intercept (LPI… 
2004
2004
Abstract : This paper considers the task of automatically collecting words with their entity class labels, starting from a small… 
2003
2003
There is an intricate relationship between milk production, fertility and survival of cows, which is further confounded by… 
1996
1996
  • S. Raudys
  • 1996
  • Corpus ID: 9504645
It is shown adaptive training of the nonlinear single layer perceptron can lead to seven different statistical classifiers: (1…