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ICASSP
2011
IEEE
14 years 4 months ago
Fast adaptive variational sparse Bayesian learning with automatic relevance determination
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulk...
90
Voted
AI
2010
Springer
15 years 5 months ago
A Three-Way Decision Approach to Email Spam Filtering
Many classification techniques used for identifying spam emails, treat spam filtering as a binary classification problem. That is, the incoming email is either spam or non-spam....
Bing Zhou, Yiyu Yao, Jigang Luo
119
Voted
JSAC
2007
102views more  JSAC 2007»
15 years 9 days ago
A Robust Coded MIMO FH-CDMA Transceiver for Mobile Ad Hoc Networks
Abstract— In this paper, we develop a coded MIMO FHCDMA transceiver that is robust to partial-band jamming and the near-far problem for ad hoc networks with high mobility. Spatia...
Haichang Sui, James R. Zeidler
138
Voted
BMCBI
2008
159views more  BMCBI 2008»
15 years 16 days ago
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong...
MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
15 years 1 months ago
Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...