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ICML
2007
IEEE
16 years 7 months ago
Multi-task learning for sequential data via iHMMs and the nested Dirichlet process
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
Kai Ni, Lawrence Carin, David B. Dunson
SRDS
1993
IEEE
15 years 10 months ago
Bayesian Analysis for Fault Location in Homogeneous Distributed Systems
We propose a simple and practical probabilistic comparison-based model, employing multiple incomplete test concepts, for handling fault location in distributed systems using a Bay...
Yu Lo Cyrus Chang, Leslie C. Lander, Horng-Shing L...
PDP
2010
IEEE
15 years 12 months ago
Load Balancing Algorithms with Partial Information Management for the DLML Library
Abstract—Load balancing algorithms are an essential component of parallel computing reducing the response time of applications. Frequently, balancing algorithms have a centralize...
Juan Santana-Santana, Miguel A. Castro-Garcí...
KBSE
2005
IEEE
16 years 3 days ago
Automating experimentation on distributed testbeds
Engineering distributed systems is a challenging activity. This is partly due to the intrinsic complexity of distributed systems, and partly due to the practical obstacles that de...
Yanyan Wang, Matthew J. Rutherford, Antonio Carzan...
SIGGRAPH
1993
ACM
15 years 10 months ago
Turbulent wind fields for gaseous phenomena
The realistic depiction of smoke, steam, mist and water reacting to a turbulent eld such as wind is an attractive and challenging problem. Its solution requires interlocking model...
Jos Stam, Eugene Fiume