About: A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms Goto Sponge NotDistinct Permalink

An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована у 2000 (uk) im Januar 2000 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q56594407-D3A7D2FD-E6FE-499F-9AB1-BCB97519B398
publication date	2000-01-01 00:00:00Z (xsd:dateTime)
exact match	wds:Q56594407-936BA43B-D337-4D80-8978-FB86D07A54D1
exact match	https://scigraph.springernature.com/pub.10.1023/a:1007608224229
author name string	wds:Q56594407-044DAAFF-53E3-478A-BA43-DA0A182AC37F wds:Q56594407-BBCA3B10-DFE1-4F13-913F-4A626D2A3857 wds:Q56594407-CE56BA90-26B4-4CA4-98FF-CFCA0B753E59
author name string	Wei-Yin Loh Yu-Shan Shih Tjen-Sien Lim
rdfs:label	A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms (en)
skos:prefLabel	A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms (en)
name	A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms (en)
title	wds:Q56594407-3A1B5B0B-32C6-44ED-AA02-AB4644FA608E
title	A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms (en)
page(s)	wds:Q56594407-78E40E52-7976-4259-B7C3-EC48A6C2A1AB
page(s)	203-228
instance of	wds:Q56594407-E32C7EA2-60FB-4E09-9DE1-9A7AEE568D1D
instance of	scholarly article
DBLP publication ID	wds:Q56594407-AC32A9E0-59D5-427B-8241-410183D9F3D7
DBLP publication ID	https://dblp.org/rec/journals/ml/LimLS00
DBLP publication ID	journals/ml/LimLS00
published in	wds:Q56594407-39ED399D-D086-4F23-9FF2-3837630567A8
published in	Machine Learning
issue	wds:Q56594407-8D6374D2-1029-4FC0-A116-64BD30027E87
volume	wds:Q56594407-B15CD2B1-3737-4914-9541-C6E4DC984DC2
issue	3
volume	40
DOI	wds:Q56594407-92830843-0CFB-4A94-ACD5-E437333D029A
DOI	http://dx.doi.org/10.1023/A:1007608224229
DOI	10.1023/A:1007608224229
maintained by WikiProject	wds:Q56594407-CC2E2AE6-16F1-4734-B2B9-F6D3E9A796B8
maintained by WikiProject	WikiProject Mathematics
zbMATH Open document ID	wds:Q56594407-7A198DC9-8737-4BD2-B994-4340D5D0356B
zbMATH Open document ID	0969.68669
ResearchGate publication ID	wds:Q56594407-1D7C70FA-BFB2-4341-B0B5-4E2ECDF7BB84
ResearchGate publication ID	220343462
Dimensions Publication ID	wds:Q56594407-0EA0EC9E-E88D-404D-BFB4-EC5825FA62B3
Dimensions Publication ID	1047825454
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q56594407
is cites work of	A comparison of statistical approaches for modelling fish species distributions The support vector machine under test Three learning phases for radial-basis-function networks. A review of associative classification mining Intelligent analysis of acute bed overflow in a tertiary hospital in Singapore The optimal sequence and selection of screening test items to predict fall risk in older disabled women: the Women's Health and Aging Study. Classification trees as an alternative to linear discriminant analysis. Classification algorithms for hip fracture prediction based on recursive partitioning methods. Artificial neural networks versus proportional hazards Cox models to predict 45-year all-cause mortality in the Italian Rural Areas of the Seven Countries Study. A nonparametric Bayesian method of translating machine learning scores to probabilities in clinical decision support Data mining, neural nets, trees--problems 2 and 3 of Genetic Analysis Workshop 15. Rapid evaluation of human biomonitoring data using pattern recognition systems Using decision tree analysis to identify risk factors for relapse to smoking Predictors of substance abuse treatment outcomes in Tennessee Knowledge discovery techniques for predicting country investment risk Expanded prediction equations of human sweat loss and water needs. Deterministic neural classification. Vision system development by machine learning: Mashing assessment in brewing Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models A high-bias, low-variance introduction to Machine Learning for physicists What variables are important in predicting bovine viral diarrhea virus? A random forest approach. In Vivo Pattern Classification of Ingestive Behavior in Ruminants Using FBG Sensors and Machine Learning Applying a novel combination of techniques to develop a predictive model for diabetes complications Artificial neural network versus multiple logistic function to predict 25-year coronary heart disease mortality in the Seven Countries Study. Neural Discriminant Models, Bootstrapping, and Simulation Performance Analysis of Network Traffic Predictors in the Cloud A Comparative Assessment Between the Application of Fuzzy Unordered Rules Induction Algorithm and J48 Decision Tree Models in Spatial Prediction of Shallow Landslides at Lang Son City, Vietnam Prediction of bruise volume propagation of pear during the storage using soft computing methods Predicting adsorptive removal of chlorophenol from aqueous solution using artificial intelligence based modeling approaches Patient length of stay and mortality prediction: A survey Covert genetic selections to optimize phenotypes A Generic multi-dimensional feature extraction method using multiobjective genetic programming. Support vector machine model for diagnosing pneumoconiosis based on wavelet texture features of digital chest radiographs CNN universal machine as classificaton platform: an art-like clustering algorithm. Finding an appropriate equation to measure similarity between binary vectors: case studies on Indonesian and Japanese herbal medicines. Empirical study of seven data mining algorithms on different characteristics of datasets for biomedical classification applications Methodological Triangulation Using Neural Networks for Business Research
is cites work of	wds:Q38636577-4785F9BC-D64C-43F9-85E7-AF62F5B96F9F wds:Q45931951-FED178E6-DAD0-44CF-B3D7-43E676C7E64D wds:Q47977676-1AC4A189-C2F5-4477-8847-2313CE7B1DB2 wds:Q56095190-C6211F48-3A35-4A41-A4ED-E069E311FF0A wds:Q58254243-6F50C7BD-224B-43D7-8328-A62115FE0D6B wds:Q30393617-3880720E-F912-49F6-92A2-966AC4B03396 wds:Q35611683-079D8203-3B7B-4324-828C-422FC49019C5 wds:Q34014480-255165E0-21E3-4995-BCA4-306D09278664 wds:Q56698686-E7AA3D42-7A50-4673-A19F-49C9F8AB72EB wds:Q58692604-05D85C36-B53F-4709-8B33-AA0B1C57FA68 wds:Q90150063-00ECBA5C-73AD-4DB2-B10D-BC8776001C4C wds:Q31159951-28E783B5-4516-4E92-AD81-A2C3A4D550FA wds:Q40585643-CAB5AAD2-F063-43F9-BAF3-8F63D690F4C0 wds:Q62633432-2CB8E625-285F-4D9C-A5CE-99391BD0B5CF wds:Q33306687-03B1AF3B-7107-4E65-B778-A981998C257F wds:Q31138120-27D8176D-03F0-4833-91BE-25601E64E15C wds:Q35886184-93714BB4-37ED-4313-A0DA-25CA6D242285 wds:Q43729302-91370B8A-6443-45BB-96D6-FFC1D8974AB4 wds:Q51852240-4EACAD73-7E9D-4FB4-9088-B55DE99B8C99

Faceted Search & Find service v1.16.117 as of May 05 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3239 as of May 5 2024, on Linux (x86_64-centos_6-linux-gnu), Single-Server Edition (378 GB total memory, 171 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software