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AAAI
2012
12 years 22 days ago
A Search Algorithm for Latent Variable Models with Unbounded Domains
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
Michael Chiang, David Poole
CLUSTER
2007
IEEE
14 years 4 months ago
Network performance model for TCP/IP based cluster computing
— A new communication model, called the PlogPT model, is proposed to predict communication performance in a commodity cluster where computing nodes communicate using TCP/IP. This...
Akihiro Nomura, Hiroya Matsuba, Yutaka Ishikawa
SBRN
2008
IEEE
14 years 4 months ago
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach
In this work, we propose to use the Zoomed-Ranking approach to ranking and selecting Artificial Neural Network (ANN) models for time series forecasting. Given a time series to fo...
Patrícia M. Santos, Teresa Bernarda Ludermi...
AUTOMATICA
2010
96views more  AUTOMATICA 2010»
13 years 10 months ago
Issues in sampling and estimating continuous-time models with stochastic disturbances
: The standard continuous time state space model with stochastic disturbances the mathematical abstraction of continuous time white noise. To work with well defined, discrete time ...
Lennart Ljung, Adrian Wills
RTSS
1996
IEEE
14 years 2 months ago
A multiframe model for real-time tasks
The well-known periodic task model of Liu and Layland 1] assumes a worst-case execution time bound for every task and may be too pessimistic if the worst-case execution time of a ...
Aloysius K. Mok, Deji Chen