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» Prediction Time in Anticipatory Systems
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AI
2001
Springer
15 years 10 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
RTAS
2008
IEEE
16 years 20 days ago
Hybrid Timing Analysis of Modern Processor Pipelines via Hardware/Software Interactions
Embedded systems are often subject to constraints that require determinism to ensure that task deadlines are met. Such systems are referred to as real-time systems. Schedulability...
Sibin Mohan, Frank Mueller
CASCON
1996
160views Education» more  CASCON 1996»
15 years 7 months ago
Automatic generation of performance models for distributed application systems
Organizations have become increasingly dependent on computing systems to achieve their business goals. The performance of these systems in terms of response times and cost has a m...
M. Qin, R. Lee, Asham El Rayess, Vidar Vetland, Je...
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 11 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
VLDB
2000
ACM
149views Database» more  VLDB 2000»
15 years 9 months ago
Rethinking Database System Architecture: Towards a Self-Tuning RISC-Style Database System
Database technology is one of the cornerstones for the new millennium's IT landscape. However, database systems as a unit of code packaging and deployment are at a crossroad:...
Surajit Chaudhuri, Gerhard Weikum