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» Algorithmic Complexity Bounds on Future Prediction Errors
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APAQS
2000
IEEE
15 years 4 months ago
Software Quality Prediction Using Mixture Models with EM Algorithm
The use of the statistical technique of mixture model analysis as a tool for early prediction of fault-prone program modules is investigated. The Expectation-Maximum likelihood (E...
Ping Guo, Michael R. Lyu
AAAI
2012
13 years 2 months ago
A Search Algorithm for Latent Variable Models with Unbounded Domains
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
Michael Chiang, David Poole
DATE
2008
IEEE
128views Hardware» more  DATE 2008»
15 years 6 months ago
Robust and Low Complexity Rate Control for Solar Powered Sensors
This paper is concerned with solar driven sensors deployed in an outdoor environment. We present feedback controllers which adapt parameters of the application such that a maximal...
Clemens Moser, Lothar Thiele, Davide Brunelli, Luc...
INFOCOM
2000
IEEE
15 years 3 months ago
A Predictability Analysis of Network Traffic
This paper assesses the predictability of network traffic by considering two metrics: (1) how far into the future a traffic rate process can be predicted with bounded error; (2) w...
Aimin Sang, San-qi Li
INFOCOM
2005
IEEE
15 years 5 months ago
Low-state fairness: lower bounds and practical enforcement
— Providing approximate max-min fair bandwidth allocation among flows within a network or at a single router has been an important research problem. In this paper, we study the ...
Abhimanyu Das, Debojyoti Dutta, Ahmed Helmy, Ashis...