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» Neural networks: Algorithms and applications
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JMLR
2010
140views more  JMLR 2010»
15 years 2 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
ESWA
2007
176views more  ESWA 2007»
15 years 7 months ago
Credit scoring with a data mining approach based on support vector machines
The credit card industry has been growing rapidly recently, and thus huge numbers of consumers’ credit data are collected by the credit department of the bank. The credit scorin...
Cheng-Lung Huang, Mu-Chen Chen, Chieh-Jen Wang
QOFIS
2000
Springer
15 years 11 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
AINA
2008
IEEE
15 years 9 months ago
A Communication-Efficient Distributed Clustering Algorithm for Sensor Networks
Sensor networks usually generate continuous stream of data over time. Clustering sensor data as a core task of mining sensor data plays an essential role in analytical application...
Amirhosein Taherkordi, Reza Mohammadi, Frank Elias...
ALIFE
2008
15 years 6 months ago
Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data
The development of structure-learning algorithms for gene regulatory networks depends heavily on the availability of synthetic data sets that contain both the original network and ...
Koenraad Van Leemput, Tim Van den Bulcke, Thomas D...