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» Improving Multi-Step Prediction of Learned Time Series Model...
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111
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BMCBI
2005
117views more  BMCBI 2005»
15 years 10 days ago
An SVM-based system for predicting protein subnuclear localizations
Background: The large gap between the number of protein sequences in databases and the number of functionally characterized proteins calls for the development of a fast computatio...
Zhengdeng Lei, Yang Dai

Publication
412views
16 years 10 months ago
Analyzing Transit Service Reliability using Detailed Data From Automatic Vehicular Locator Systems
The widespread adoption of automated vehicle location systems (AVL) and automatic passenger counters (APC) in the transit industry has opened new venues in operations and system mo...
A. M. El-Geneidy, J. Horning, K. J. Krizek
JMLR
2012
13 years 2 months ago
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes. The underlying as...
Marco Grzegorczyk, Dirk Husmeier
88
Voted
PPSN
2004
Springer
15 years 5 months ago
Credit Assignment Among Neurons in Co-evolving Populations
Different credit assignment strategies are investigated in a two level co-evolutionary model which involves a population of Gaussian neurons and a population of radial basis funct...
Vineet R. Khare, Xin Yao, Bernhard Sendhoff
85
Voted
ICML
2002
IEEE
16 years 1 months ago
Exact model averaging with naive Bayesian classifiers
The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this ...
Denver Dash, Gregory F. Cooper