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TSP
2008
167views more  TSP 2008»
15 years 5 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
IPPS
2006
IEEE
16 years 29 days ago
An extensible global address space framework with decoupled task and data abstractions
ions Sriram Krishnamoorthy½ Umit Catalyurek¾ Jarek Nieplocha¿ Atanas Rountev½ P. Sadayappan½ ½ Dept. of Computer Science and Engineering, ¾ Dept. of Biomedical Informatics T...
Sriram Krishnamoorthy, Ümit V. Çataly&...
FLAIRS
2000
15 years 8 months ago
Inferencing Bayesian Networks from Time Series Data Using Natural Selection
This paper describes a new framework for using natural selection to evolve Bayesian Networks for use in forecasting time series data. It extends current research by introducing a ...
Andrew J. Novobilski, Farhad Kamangar
WSC
1998
15 years 8 months ago
Applying Temporal Databases to HLA Data Collection and Analysis
The High Level Architecture (HLA) for distributed simulations was proposed by the Defense Modeling and Simulation Office of the Department of Defense (DOD) in order to support int...
Thom McLean, Leo Mark, Margaret L. Loper, David Ro...
ADHOC
2007
169views more  ADHOC 2007»
15 years 7 months ago
Ensuring strong data guarantees in highly mobile ad hoc networks via quorum systems
Ensuring the consistency and the availability of replicated data in highly mobile ad hoc networks is a challenging task because of the lack of a backbone infrastructure. Previous ...
Daniela Tulone