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MICCAI
2010
Springer
15 years 1 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...
ICMCS
2009
IEEE
101views Multimedia» more  ICMCS 2009»
15 years 1 months ago
Block-Matching Translation and Zoom Motion-Compensated Prediction
- In modern video coding standards, motion compensated prediction (MCP) plays a key role to achieve video compression efficiency. Most of them make use of block matching techniques...
Ka-Man Wong, Lai-Man Po, Kwok-Wai Cheung
118
Voted
WWW
2009
ACM
16 years 3 months ago
Predicting click through rate for job listings
Click Through Rate (CTR) is an important metric for ad systems, job portals, recommendation systems. CTR impacts publisher's revenue, advertiser's bid amounts in "p...
Manish S. Gupta
RECOMB
2006
Springer
16 years 3 months ago
Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction
We present a model for predicting HLA class I restricted CTL epitopes. In contrast to almost all other work in this area, we train a single model on epitopes from all HLA alleles a...
David Heckerman, Carl Myers Kadie, Jennifer Listga...
ICCAD
2001
IEEE
163views Hardware» more  ICCAD 2001»
16 years 4 days ago
Predicting the Performance of Synchronous Discrete Event Simulation Systems
In this paper we propose a model to predict the performance of synchronous discrete event simulation. The model considers parameters including the number of active objects per cyc...
Jinsheng Xu, Moon-Jung Chung