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MICCAI
2010
Springer
15 years 2 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 ...
WWW
2009
ACM
16 years 4 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
ICCAD
2001
IEEE
163views Hardware» more  ICCAD 2001»
16 years 1 months 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
CICLING
2006
Springer
15 years 8 months ago
Predicting Dialogue Acts from Prosodic Information
In this paper, the influence of intonation to recognize dialogue acts from speech is assessed. Assessment is based on an empirical approach: manually tagged data from a spoken-dial...
Sergio Rafael Coria Olguin, Luis Alberto Pineda Co...
CHI
2008
ACM
15 years 6 months ago
Introducing item response theory for measuring usability inspection processes
Usability evaluation methods have a long history of research. Latest contributions significantly raised the validity of method evaluation studies. But there is still a measurement...
Martin Schmettow, Wolfgang Vietze