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» Self-Explanatory Simulations: Scaling Up to Large Models
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MSWIM
2004
ACM
15 years 3 months ago
Speeding up the evaluation of multimedia streaming applications in MANETs using HMMs
Mobile ad-hoc networks (MANETs) present quite large packet loss bursts due to mobility. In this work we propose two models based on hidden Markov models for estimating packet arri...
Carlos Miguel Tavares Calafate, Pietro Manzoni, Ma...
CCGRID
2008
IEEE
14 years 11 months ago
AMP: An Affinity-Based Metadata Prefetching Scheme in Large-Scale Distributed Storage Systems
Prefetching is an effective technique for improving file access performance, which can reduce access latency for I/O systems. In distributed storage system, prefetching for metadat...
Lin Lin, Xueming Li, Hong Jiang, Yifeng Zhu, Lei T...
ICMLA
2010
14 years 7 months ago
Nonlinear Dynamical Multi-Scale Model of Associative Memory
How can we get such reliable behavior from the mind when the brain is made up of such unreliable elements as neurons? We propose that the answer is related to the emergence of stab...
Alexander M. Duda, Stephen E. Levinson
ICCS
2007
Springer
15 years 3 months ago
Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
Omar Bashir, Omar Ghattas, Judith Hill, Bart G. va...
NIPS
2001
14 years 11 months ago
Fast, Large-Scale Transformation-Invariant Clustering
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
Brendan J. Frey, Nebojsa Jojic