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ICASSP
2011
IEEE
12 years 10 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...
AI
2010
Springer
13 years 11 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
JSAC
2007
102views more  JSAC 2007»
13 years 6 months 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
BMCBI
2008
159views more  BMCBI 2008»
13 years 6 months 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»
13 years 8 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...