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Feature scaling

Feature scaling is a method used to standardize the range of independent variables or features of data. In data processing, it is also known as data… 
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Related topics

Related topics

8 relations
Euclidean distanceFMLLRGradient descentK-nearest neighbors algorithm

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Inferring Object Properties from Incidental Contact with a Tactile Sensing Forearm
Whole-arm tactile sensing enables a robot to sense properties of contact across its entire arm. By using this large sensing area… 
2013
2013
2D and 3D photoresist line roughness characterization
2012
2012
A novel data preprocessing method to estimate the air pollution (SO2): neighbor-based feature scaling (NBFS)
  • K. Polat
  • Neural computing & applications (Print)
  • 2012
  • Corpus ID: 11444302
The forecasting of air pollution is important for living environment and public health. The prediction of SO2 (sulfur dioxide… 
2011
2011
Using Gaussian process based kernel classifiers for credit rating forecasting
2010
2010
A Discrete-Time Digital-IF Interference-Robust Ultrawideband Pulse Radio Transceiver Architecture
This paper discusses the challenges in ultrawideband pulse radio transceiver design and proposes an architecture operating… 
2009
2009
On Determining How Many Computers to Use in Parallel VLSI Simulation
  • Qing XuC. Tropper
  • ACM/IEEE/SCS 23rd Workshop on Principles of…
  • 2009
  • Corpus ID: 16867625
Parallel discrete event simulation has been established as a technique which has great potential to speed up the execution of… 
2008
2008
Verification of human faces using predicted eigenvalues
To alleviate the conventional problems of LDA and its variants, we propose a procedure of predicting eigenvalues using few… 
Highly Cited
2006
Highly Cited
2006
A Feature Selection Methodology for Steganalysis
This paper presents a methodology to select features before training a classifier based on Support Vector Machines (SVM). In this… 
2006
2006
Training a reciprocal-sigmoid classifier by feature scaling-space
This paper presents a reciprocal-sigmoid model for pattern classification. This proposed classifier can be considered as a… 
1999
1999
THE WEIGHTED k-NN WITH SELECTION OF FEATURES AND ITS NEURAL REALIZATION
As a step towards neural realization of various similarity based algorithms k-NN method has been extended to weighted nearest… 
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