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» Mixing time for the solid-on-solid model
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CVPR
1999
IEEE
14 years 8 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
FOCS
2008
IEEE
14 years 16 days ago
Mixing Time of Exponential Random Graphs
A plethora of random graph models have been developed in recent years to study a range of problems on networks, driven by the wide availability of data from many social, telecommu...
Shankar Bhamidi, Guy Bresler, Allan Sly
PET
2004
Springer
13 years 11 months ago
Anonymity and Covert Channels in Simple Timed Mix-Firewalls
Traditional methods for evaluating the amount of anonymity afforded by various Mix configurations have depended on either measuring the size of the set of possible senders of a p...
Richard E. Newman, Vipan R. Nalla, Ira S. Moskowit...
ICDE
2010
IEEE
195views Database» more  ICDE 2010»
13 years 11 months ago
Interaction-Aware Prediction of Business-Intelligence Workload Completion Times
— While planning the execution of report-generation workloads, database administrators often need to know how long different query workloads will take to run. Database systems ru...
Mumtaz Ahmad, Songyun Duan, Ashraf Aboulnaga, Shiv...
ML
2000
ACM
103views Machine Learning» more  ML 2000»
13 years 5 months ago
Nonparametric Time Series Prediction Through Adaptive Model Selection
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
Ron Meir