Results 31 to 40 of about 2,058,652 (297)
Fast Feature Ranking Algorithm [PDF]
, 2003 The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simpler and easy to understand. The algorithm has some interesting characteristics: lower computational cost (O(m n log n) m attributes and n examples in the data set) with respect ...
Roberto Ruiz +2 more
openaire +2 more sources
Feature ranking for the Full Texas dataset.
, 2022 Feature ranking for the Full Texas dataset.
Rachel Bennett (7649594) +4 more
core +1 more source
Predicting Diabetes Mellitus With Machine Learning Techniques
Frontiers in Genetics, 2018 Diabetes mellitus is a chronic disease characterized by hyperglycemia. It may cause many complications. According to the growing morbidity in recent years, in 2040, the world’s diabetic patients will reach 642 million, which means that one of the ten ...
Quan Zou +6 more
doaj +1 more source
Analysis of Feature Rankings for Classification [PDF]
, 2005 Different ways of contrast generated rankings by feature selection algorithms are presented in this paper, showing several possible interpretations, depending on the given approach to each study. We begin from the premise of no existence of only one ideal subset for all cases.
Roberto Ruiz +3 more
openaire +3 more sources
Feature ranking for the MOMI Full dataset.
, 2022 Feature ranking for the MOMI Full dataset.
Rachel Bennett (7649594) +4 more
core +1 more source
Online Learning to Rank with Features
CoRR, 2018 We introduce a new model for online ranking in which the click probability factors into an examination and attractiveness function and the attractiveness function is a linear function of a feature vector and an unknown parameter. Only relatively mild assumptions are made on the examination function. A novel algorithm for this setup is analysed, showing
Shuai Li 0010 +2 more
openaire +3 more sources
Learning to Rank 3D Features [PDF]
, 2014 Representation of three dimensional objects using a set of oriented point pair features has been shown to be effective for object recognition and pose estimation. Combined with an efficient voting scheme on a generalized Hough space, existing approaches achieve good recognition accuracy and fast operation.
Oncel Tuzel +3 more
openaire +1 more source
Neighborhood Ranking-Based Feature Selection
IEEE AccessThis article aims to integrate ${k}$ -NN regression, false-nearest neighborhood (FNN), and trustworthiness and continuity (T&C) neighborhood-based measures into an efficient and robust feature selection method to support the identification of ...
Adam Ipkovich, Janos Abonyi
doaj +1 more source
Wrapper for Ranking Feature Selection [PDF]
, 2004 We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly distance calculations. Applying a wrapper to the output of a new attribute ranking method, we obtain a minimum subset with the same error rate as the original data.
Roberto Ruiz +2 more
openaire +3 more sources
Classification with correlated features: unreliability of feature ranking and solutions [PDF]
Bioinformatics, 2011 Abstract Motivation: Classification and feature selection of genomics or transcriptomics data is often hampered by the large number of features as compared with the small number of samples available. Moreover, features represented by probes that either have similar molecular functions (gene expression analysis) or genomic locations ...
Tolosi, L., Lengauer, T.
openaire +4 more sources