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ANSS
1996
IEEE
14 years 29 days ago
Computation of the Asymptotic Bias and Variance for Simulation of Markov Reward Models
The asymptotic bias and variance are important determinants of the quality of a simulation run. In particular, the asymptotic bias can be used to approximate the bias introduced b...
Aad P. A. van Moorsel, Latha A. Kant, William H. S...
ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
14 years 19 days ago
Sequential Change Detection on Data Streams
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
S. Muthukrishnan, Eric van den Berg, Yihua Wu
BROADNETS
2004
IEEE
14 years 16 days ago
Efficient QoS Provisioning for Adaptive Multimedia in Mobile Communication Networks by Reinforcement Learning
The scarcity and large fluctuations of link bandwidth in wireless networks have motivated the development of adaptive multimedia services in mobile communication networks, where i...
Fei Yu, Vincent W. S. Wong, Victor C. M. Leung
ESTIMEDIA
2006
Springer
14 years 13 days ago
Design of a WCET-Aware C Compiler
This paper presents techniques to tightly integrate worstcase execution time (WCET) information into a compiler framework. Currently, a tight integration of WCET information into ...
Heiko Falk, Paul Lokuciejewski, Henrik Theiling
BMVC
2001
13 years 11 months ago
A Buyer's Guide to Euclidean Elliptical Cylindrical and Conical Surface Fitting
The ability to construct CAD or other object models from edge and range data has a fundamental meaning in building a recognition and positioning system. While the problem of model...
Petko Faber, Robert B. Fisher