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SCISCIESCOPUS
A gradient approach for value weighted classification learning in naive Bayes

Lee, Chang-Hwan

ArticleIssue Date2015CitationKNOWLEDGE-BASED SYSTEMS, v.85, pp 71 - 79PublisherELSEVIER
SCIESCOPUS
A Hellinger-Based Importance Measure of Association Rules for Classification Learningopen access

Lee, Chang-Hwan

ArticleIssue Date2014CitationINTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, v.29, no.9, pp 807 - 822PublisherWILEY
SCIESCOPUS
A multi-phase approach for classifying multi-dimensional sequence data

Lee, Chang-Hwan

ArticleIssue Date2015CitationINTELLIGENT DATA ANALYSIS, v.19, no.3, pp 547 - 561PublisherIOS PRESS
SCOPUS
A new fine-grained weighting method in multi-label text classification

Lee, C.-H.

ArticleIssue Date2014CitationCEUR Workshop Proceedings, v.1144, pp 26 - 30PublisherCEUR-WS
A New Fine-Grained Weighting Method in Multi-Label Text Classification

이창환

ConferenceIssue Date2014Place미국
A New Measure of Rule Importance Using Hellinger Divergence

이창환

ConferenceIssue Date2012Place대한민국
An Entropy-based Approach for Generating Multi-dimensional

이창환

ConferenceIssue Date2005Place포르투칼; conference venue
SCIESCOPUS
An information-theoretic filter approach for value weighted classification learning in naive Bayes

Lee, Chang-Hwan

ArticleIssue Date2018CitationDATA & KNOWLEDGE ENGINEERING, v.113, pp 116 - 128PublisherELSEVIER
SCIESCOPUS
AN INFORMATION-THEORETIC FILTER METHOD FOR FEATURE WEIGHTING IN NAIVE BAYES

Lee, Chang-Hwan

ArticleIssue Date2014CitationINTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, v.28, no.5PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
SCOPUS
Assigning different weights to feature values in naive bayes

Lee, C.-H.

ArticleIssue Date2016CitationCommunications in Computer and Information Science, v.652, pp 171 - 179PublisherSpringer Verlag
Assigning Different Weights to Feature Values in Naive Bayes

이창환

ConferenceIssue Date2016Place대한민국
Bagging 기법의 다수 Discriminator로 구성된 GAN

이창환

ConferenceIssue Date2018Place대한민국
Beam search를 이용한 계층 RNN 챗봇의 성능향상

이창환

ConferenceIssue Date2018Place대한민국
SCOPUS
Calculating different weights in feature values in logistic regression

Lee, C.-H.

ArticleIssue Date2016CitationACM International Conference Proceeding Series, pp 148 - 150PublisherAssociation for Computing Machinery
Calculating Different Weights in Feature Values in Logistic Regression

이창환

ConferenceIssue Date2016Place대한민국
Calculating Feature Weights in Naive Bayes with Kullback-Leibler Measure

이창환

ConferenceIssue Date2011Place캐나다
Combining Different Classifiers with Identical Features in Co-Training Method

이창환

ConferenceIssue Date2011Place미국; 뉴욕
SCOPUS
Current approaches in applied artificial intelligence: 28th international conference on industrial, engineering and other applications of applied intelligent systems, IEA/AIE 2015 Seoul, South Korea, june 10-12, 2015 proceedings

Ali, Moonis; Kwon, Young Sig; Lee, Chang-Hwan; Kim, Juntae; Kim, Yongdai

ArticleIssue Date2015CitationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.9101PublisherSpringer Verlag
SCOPUS
Improving Document Classification Using Fine-Grained Weights

Song, Soo-Hwan; Lee, Chang-Hwan

ArticleIssue Date2015CitationCURRENT APPROACHES IN APPLIED ARTIFICIAL INTELLIGENCE, v.9101, pp 488 - 492PublisherSPRINGER-VERLAG BERLIN
Improving Multi-label Classification of Documents Using Fine-Grained Weights

이창환

ConferenceIssue Date2015Place미국
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