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FLAIRS
2008
15 years 6 months ago
Machine Learning to Predict the Incidence of Retinopathy of Prematurity
Retinopathy of Prematurity (ROP) is a disorder afflicting prematurely born infants. ROP can be positively diagnosed a few weeks after birth. The goal of this study is to build an ...
Aniket Ray, Vikas Kumar, Balaraman Ravindran, Ling...
AIPS
2000
15 years 5 months ago
Probabilistic Hybrid Action Models for Predicting Concurrent Percept-Driven Robot Behavior
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
Michael Beetz, Henrik Grosskreutz
SODA
1994
ACM
88views Algorithms» more  SODA 1994»
15 years 5 months ago
Optimal Prediction for Prefetching in the Worst Case
Response time delays caused by I/O are a major problem in many systems and database applications. Prefetching and cache replacement methods are attracting renewed attention because...
P. Krishnan, Jeffrey Scott Vitter
MVA
2008
159views Computer Vision» more  MVA 2008»
15 years 4 months ago
Coopetitive multi-camera surveillance using model predictive control
We present a generic framework for enhanced active multi-sensing. We propose a coopetitive interaction approach, which combines the salient features of cooperation and competition ...
Vivek K. Singh, Pradeep K. Atrey, Mohan S. Kankanh...
COMPSEC
2004
91views more  COMPSEC 2004»
15 years 4 months ago
Predicting the intrusion intentions by observing system call sequences
Identifying the intentions or attempts of the monitored agents through observations is very vital in computer network security. In this paper, a plan recognition method for predict...
Li Feng, Xiaohong Guan, Sangang Guo, Yan Gao, Pein...