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» Ink recognition based on statistical classification methods
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IUI
2009
ACM
14 years 5 months ago
Data-driven exploration of musical chord sequences
We present data-driven methods for supporting musical creativity by capturing the statistics of a musical database. Specifically, we introduce a system that supports users in expl...
Eric Nichols, Dan Morris, Sumit Basu
PR
2008
85views more  PR 2008»
13 years 8 months ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders
BMCBI
2011
13 years 3 months ago
pROC: an open-source package for R and S+ to analyze and compare ROC curves
Background: Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often r...
Xavier Robin, Natacha Turck, Alexandre Hainard, Na...
ICTAI
2007
IEEE
14 years 2 months ago
Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining
The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
BMCBI
2006
165views more  BMCBI 2006»
13 years 8 months ago
A stable gene selection in microarray data analysis
Background: Microarray data analysis is notorious for involving a huge number of genes compared to a relatively small number of samples. Gene selection is to detect the most signi...
Kun Yang, Zhipeng Cai, Jianzhong Li, Guohui Lin