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ECAI
2010
Springer
15 years 8 months ago
A Fault-model-based Debugging Aid for Data Warehouse Applications
The paper describes a model-based approach to developing a general tool for localizing faults in applications of data warehouse technology. A model of the application is configured...
Peter Struss, Vikas Shivashankar, Mohamed Zahoor
HPDC
2010
IEEE
15 years 8 months ago
LogGOPSim: simulating large-scale applications in the LogGOPS model
We introduce LogGOPSim--a fast simulation framework for parallel algorithms at large-scale. LogGOPSim utilizes a slightly extended version of the well-known LogGPS model in combin...
Torsten Hoefler, Timo Schneider, Andrew Lumsdaine
JCP
2008
96views more  JCP 2008»
15 years 6 months ago
Energy Driven Application Self-Adaptation at Run-time
Until recently, there has been a lack of methods to trade-off energy use for quality of service at run-time in stand-alone embedded systems. Such systems are motivated by the need ...
Jorgen Peddersen, Sri Parameswaran
DATAMINE
2002
125views more  DATAMINE 2002»
15 years 6 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
ML
1998
ACM
139views Machine Learning» more  ML 1998»
15 years 6 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby