Search Results - info:eu-repo/classification/algorithm selection problems/algorithm selection problem~
-
1
Algorithm selection for classification problems
Published: IEEE 01.07.2016Published in 2016 SAI Computing Conference (SAI) (01.07.2016)“…A number of algorithms are available in the areas of data mining, machine learning and pattern recognition for solving the same kind of problem…”
Get full text
Conference Proceeding -
2
Feature selection algorithms in classification problems: an experimental evaluation
ISSN: 1055-6788, 1029-4937Published: Taylor & Francis 01.02.2007Published in Optimization methods & software (01.02.2007)“…Feature selection (FS) is a significant topic for the development of efficient pattern recognition systems…”
Get full text
Journal Article -
3
A Quantum Feature Selection Algorithm for Multi-Classification Problem
Published: IEEE 01.07.2019Published in 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (01.07.2019)“…ReliefF is a feature selection algorithm for the multi-classification problem, and its complexity of the algorithm grows rapidly as the number of samples and features increases…”
Get full text
Conference Proceeding -
4
Fusion Approaches of Feature Selection Algorithms for Classification Problems
Published: IEEE 01.10.2016Published in 2016 5th Brazilian Conference on Intelligent Systems (BRACIS) (01.10.2016)“… from them. Machine learning algorithms are useful tools to perform this task, but usually it is necessary to reduce complexity of data using feature selection algorithms…”
Get full text
Conference Proceeding -
5
Comparison of feature selection algorithms for Data classification problems
Published: IEEE 23.05.2022Published in 2022 VIII International Conference on Information Technology and Nanotechnology (ITNT) (23.05.2022)“…This article discusses various feature selection algorithms, namely SelectKBest with different statistical criteria and Random Forest algorithm, compares classification accuracy with and without…”
Get full text
Conference Proceeding -
6
Methodology of semi-supervised algorithm selection for classification problems
ISSN: 2710-1673, 2710-1681Published: 29.12.2022Published in Artificial Intelligence (29.12.2022)“…The paper concerns the problem of selecting an appropriate semi-supervised learning algorithm based on validating assumptions that the algorithm is based on for the particular dataset…”
Get full text
Journal Article -
7
Algorithm Selection for Classification Problems via Cluster-based Meta-features
Published: IEEE 01.12.2018Published in 2018 IEEE International Conference on Big Data (Big Data) (01.12.2018)“…Meta-features describe the characteristics of the datasets to facilitate algorithm selection…”
Get full text
Conference Proceeding -
8
Simulator for Swarm Feature Selection Algorithms for Classification Problem
Published: IEEE 14.03.2024Published in 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) (14.03.2024)“… This proposed simulator introduces a novel approach to automating the process of selection for Swarm Intelligence (SI…”
Get full text
Conference Proceeding -
9
Chaotic genetic algorithm for gene selection and classification problems
ISSN: 1557-8100, 1557-8100Published: United States 01.10.2009Published in Omics (Larchmont, N.Y.) (01.10.2009)“…Pattern recognition techniques suffer from a well-known curse, the dimensionality problem…”
Get more information
Journal Article -
10
Risk analysis for astronaut selection during space flight cardio vascular problems - Classification using random forest algorithm
Published: IEEE 01.04.2015Published in 2015 Global Conference on Communication Technologies (GCCT) (01.04.2015)“…, in most of the cases the issue remains undetected because of the hidden problems which cannot be pinpointed with regular physical tests…”
Get full text
Conference Proceeding -
11
Empowering Simultaneous Feature and Instance Selection in Classification Problems through the Adaptation of Two Selection Algorithms
ISBN: 1424492114, 9781424492114Published: IEEE 01.12.2010Published in 2010 International Conference on Machine Learning and Applications (01.12.2010)“…This paper proposes a new approach to data selection, a key issue in classification problems…”
Get full text
Conference Proceeding -
12
Opposition based Gray Wolf Algorithm for Feature Selection in Classification Problems
Published: IEEE 01.10.2019Published in 2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (01.10.2019)“… Heuristic algorithms have become very popular in optimization problems in recent years. Gray Wolf Optimization (GWO…”
Get full text
Conference Proceeding -
13
Advanced strategies on update mechanism of Sine Cosine Optimization Algorithm for feature selection in classification problems
ISSN: 0952-1976, 1873-6769Published: Elsevier Ltd 01.01.2022Published in Engineering applications of artificial intelligence (01.01.2022)“…Sine Cosine Algorithm (SCA) that is one of the population-based metaheuristic optimization algorithms basically consists of the updating mechanism based on…”
Get full text
Journal Article -
14
A Hybrid Swarm and Gravitation-based feature selection algorithm for handwritten Indic script classification problem
ISSN: 2199-4536, 2198-6053Published: Cham Springer International Publishing 01.04.2021Published in Complex & intelligent systems (01.04.2021)“… Over the years, this complex pattern classification problem has been solved by researchers proposing various feature vectors mostly having large dimensions, thereby increasing the computation…”
Get full text
Journal Article -
15
Feature Subset Selection Using Genetic Algorithm with Aggressive Mutation for Classification Problem
ISSN: 2159-3450Published: IEEE 07.12.2021Published in TENCON ... IEEE Region Ten Conference (07.12.2021)“…In this work, the algorithmic approaches to Feature Subset Selection (FSS) are reviewed. FSS is the technique of selecting a subset of relevant features for building parsimonious models…”
Get full text
Conference Proceeding -
16
The successive projections algorithm for spectral variable selection in classification problems
ISSN: 0169-7439, 1873-3239Published: Elsevier B.V 28.07.2005Published in Chemometrics and intelligent laboratory systems (28.07.2005)“…) is used to guide SPA selection. The proposed approach is illustrated in two classification problems…”
Get full text
Journal Article -
17
A Hybrid Swarm and Gravitation based feature selection algorithm for Handwritten Indic Script Classification problem
ISSN: 2331-8422Published: Ithaca Cornell University Library, arXiv.org 10.05.2020Published in arXiv.org (10.05.2020)“… Over the years, this complex pattern classification problem has been solved by researchers proposing various feature vectors mostly having large dimension, thereby increasing the computation…”
Get full text
Paper -
18
Classification model-based and assisted environment selection for evolutionary algorithms to solve high-dimensional expensive problems
ISSN: 0020-0255, 1872-6291Published: Elsevier Inc 01.11.2023Published in Information sciences (01.11.2023)“…Surrogate-assisted evolutionary algorithms (SAEAs) have been proven to be very effective in tackling low-dimensional expensive problems…”
Get full text
Journal Article -
19
Comparison of Naive Bayes and Decision Tree on Feature Selection Using Genetic Algorithm for Classification Problem
ISSN: 1742-6588, 1742-6596Published: Bristol IOP Publishing 01.03.2018Published in Journal of physics. Conference series (01.03.2018)“…This paper discusses the problem of feature selection using genetic algorithms on a dataset for classification problems…”
Get full text
Journal Article -
20
Learning the transfer function in binary metaheuristic algorithm for feature selection in classification problems
ISSN: 0941-0643, 1433-3058Published: London Springer London 01.01.2023Published in Neural computing & applications (01.01.2023)“… Feature selection plays a key role in solving problems with high-dimensional data and is a fundamental step in pre-processing many classifications and machine learning problems…”
Get full text
Journal Article

