RandomBoost: Simplified Multiclass Boosting Through Randomization
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: 2014شناسه الکترونیک: 10.1109/TNNLS.2013.2281214
کلیدواژه(گان): convergence,learning (artificial intelligence),matrix algebra,pattern classification,random processes,RandomBoost,binary classifiers,classification accuracy,convergence rate,learned weak classifiers,machine learning,multiclass boosting algorithm,multiclass classification problem,multiclass classifier,random projection matrices,randomization,single vector-valued parameter,visual recognition data set,Algorithm design and analysis,Boosting,Machine learning algorithms,Optimizati
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RandomBoost: Simplified Multiclass Boosting Through Randomization
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contributor author | Paisitkriangkrai, Sakrapee | |
contributor author | Chunhua Shen | |
contributor author | Qinfeng Shi | |
contributor author | van den Hengel, A. | |
date accessioned | 2020-03-12T18:30:27Z | |
date available | 2020-03-12T18:30:27Z | |
date issued | 2014 | |
identifier issn | 2162-237X | |
identifier other | 6637112.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/960813?locale-attribute=fa | |
format | general | |
language | English | |
publisher | IEEE | |
title | RandomBoost: Simplified Multiclass Boosting Through Randomization | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 7993518 | |
subject keywords | convergence | |
subject keywords | learning (artificial intelligence) | |
subject keywords | matrix algebra | |
subject keywords | pattern classification | |
subject keywords | random processes | |
subject keywords | RandomBoost | |
subject keywords | binary classifiers | |
subject keywords | classification accuracy | |
subject keywords | convergence rate | |
subject keywords | learned weak classifiers | |
subject keywords | machine learning | |
subject keywords | multiclass boosting algorithm | |
subject keywords | multiclass classification problem | |
subject keywords | multiclass classifier | |
subject keywords | random projection matrices | |
subject keywords | randomization | |
subject keywords | single vector-valued parameter | |
subject keywords | visual recognition data set | |
subject keywords | Algorithm design and analysis | |
subject keywords | Boosting | |
subject keywords | Machine learning algorithms | |
subject keywords | Optimizati | |
identifier doi | 10.1109/TNNLS.2013.2281214 | |
journal title | Neural Networks and Learning Systems, IEEE Transactions on | |
journal volume | 25 | |
journal issue | 4 | |
filesize | 2477651 | |
citations | 0 |