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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 10 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
QOFIS
2000
Springer
15 years 10 months ago
The Direct Adjustment Algorithm: A TCP-Friendly Adaptation Scheme
Many distributed multimedia applications have the ability to adapt to uctuations in the network conditions. By adjusting temporal and spatial quality to available bandwidth, or man...
Dorgham Sisalem, Henning Schulzrinne
AADEBUG
1995
Springer
15 years 10 months ago
Software Testability Measurement for Assertion Placement and Fault Localization
Software testability, the tendency for software to reveal its faults during testing, is an important issue for veri cation and quality assurance. Testability measurement can also b...
Jeffrey M. Voas
APN
1995
Springer
15 years 10 months ago
Modular State Space Analysis of Coloured Petri Nets
State Space Analysis is one of the most developed analysis methods for Petri Nets. The main problem of state space analysis is the size of the state spaces. Several ways to reduce ...
Søren Christensen, Laure Petrucci
SIGCOMM
2000
ACM
15 years 10 months ago
Trajectory sampling for direct traffic observation
Traffic measurement is a critical component for the control and engineering of communication networks. We argue that traffic measurement should make it possible to obtain the spati...
Nick G. Duffield, Matthias Grossglauser
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