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» Experimental perspectives on learning from imbalanced data
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ICASSP
2011
IEEE
14 years 1 months ago
Eigentriphones: A basis for context-dependent acoustic modeling
In context-dependent acoustic modeling, it is important to strike a balance between detailed modeling and data sufficiency for robust estimation of model parameters. In the past,...
Tom Ko, Brian Mak
FSKD
2007
Springer
98views Fuzzy Logic» more  FSKD 2007»
15 years 4 months ago
Learning Selective Averaged One-Dependence Estimators for Probability Estimation
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
Qing Wang, Chuan-hua Zhou, Jiankui Guo
BMCBI
2011
14 years 5 months ago
Estimating developmental states of tumors and normal tissues using a linear time-ordered model
Background: Tumor cells are considered to have an aberrant cell state, and some evidence indicates different development states appearing in the tumorigenesis. Embryonic developme...
Bo Zhang, Beibei Chen, Tao Wu, Zhenyu Xuan, Xiaope...
KDD
2009
ACM
133views Data Mining» more  KDD 2009»
15 years 10 months ago
On the tradeoff between privacy and utility in data publishing
In data publishing, anonymization techniques such as generalization and bucketization have been designed to provide privacy protection. In the meanwhile, they reduce the utility o...
Tiancheng Li, Ninghui Li
AINA
2008
IEEE
15 years 4 months ago
Missing Value Estimation for Time Series Microarray Data Using Linear Dynamical Systems Modeling
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
Connie Phong, Raul Singh