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Result

Do We Need to Observe Features to Perform Feature Selection?

Many feature selection methods were developed in the past, but in the core, they all work the same way — you pass a set of features to the algorithm and get a reduced set of the features. But can we perform a non-trivial

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2018
  • D
Result

Geohazard Inventory Map 1:25.000, sheet Ghalandar

The map includes a comprehensive information on geological inventory and geohazard features. They include seismic features, erosion features, slope failures, flood features, etc....

DB - Geologie a mineralogie

  • 2011
  • Nmap
Result

Geohazard Susceptibility Map 1:25.000, sheet Ahar

The map includes a comprehensive information on geological inventory and geohazard features. They include seismic features, erosion features, slope failures, flood features, etc....

DB - Geologie a mineralogie

  • 2011
  • Nmap
Result

Geohazard Susceptibility Map 1:25.000, sheet Ghalandar

The map includes a comprehensive information on geological inventory and geohazard features. They include seismic features, erosion features, slope failures, flood features, etc....

DB - Geologie a mineralogie

  • 2011
  • Nmap
Result

Feature Selection by Reordering

A method of proper selection of features for an inductive algorithm is discussed. The main idea consists in proper descending ordering of features according to the measure of new information contributing to the previous valuable set...

BA - Obecná matematika

  • 2005
  • Jx
Result

Important Features for Image Retrieval

This paper discusses features of images, which are important for data operation as a classification, according to the features. An importance of the features for image retrieval is shown here. Manners of the features

JC - Počítačový hardware a software

  • 2001
  • D
Result

The Problem of Fragile Feature Subset Preference in Feature Selection Methods and A Proposal of Algorithmic Workaround

feature selection methods. It follows from the implicit assumption that higher feature feature preferences, overfitting and feature acquisition cost. We propose an algorithmic extension applicable to many standard...

BD - Teorie informace

  • 2010
  • D
Result

Comparison of stability measures for feature selection

The feature selection is inevitable part of machine learning techniques in biomedical engineering and bioinformatics. Feature selection methods are used to select the most discriminative features, e.g. for disease classific...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2015
  • D
  • Link
Result

Feature Space Optimization

The contribution deals with the problem of feature selection strategies for the case of high dimensional feature space. In this paper an effective method of feature selection is proposed where two different measures are con...

IN - Informatika

  • 2008
  • D
Result

Gunshot Recognition using Low Level Features in the Time Domain

This paper explores the possibility of using scarcely used time-domain features for the task of gunshot recognition. A set of 11 features derived from temporal-gunshots. The features leverage the impulsive nature of gunshot...

Electrical and electronic engineering

  • 2018
  • D
  • Link
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