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ICDM
2002
IEEE
70views Data Mining» more  ICDM 2002»
15 years 5 months ago
Progressive Modeling
Presently, inductive learning is still performed in a frustrating batch process. The user has little interaction with the system and no control over the final accuracy and traini...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, S...
ECUMN
2004
Springer
15 years 4 months ago
Multi-time-Scale Traffic Modeling Using Markovian and L-Systems Models
Traffic engineering of IP networks requires the characterization and modeling of network traffic on multiple time scales due to the existence of several statistical properties that...
Paulo Salvador, António Nogueira, Rui Valad...
98
Voted
BMCBI
2005
100views more  BMCBI 2005»
15 years 19 days ago
Evolutionary models for insertions and deletions in a probabilistic modeling framework
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
Elena Rivas
ECML
2005
Springer
15 years 6 months ago
Inducing Hidden Markov Models to Model Long-Term Dependencies
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
Jérôme Callut, Pierre Dupont
105
Voted
EWSN
2012
Springer
13 years 8 months ago
On the Optimal Blacklisting Threshold for Link Selection in Wireless Sensor Networks
Empirical studies on link blacklisting show that the delivery rate is very sensitive to the calibration of the blacklisting threshold. If the calibration is too restrictive (the th...
Flavio Fabbri, Marco Zuniga, Daniele Puccinelli, P...