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» Combining Estimators Using Non-Constant Weighting Functions
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TSP
2011
170views more  TSP 2011»
14 years 4 months ago
Joint TDOA and FDOA Estimation: A Conditional Bound and Its Use for Optimally Weighted Localization
—Modern passive emitter-location systems are often based on joint estimation of the time-difference of arrival (TDOA) and frequency-difference of arrival (FDOA) of an unknown sig...
Arie Yeredor, Eyal Angel
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
BMCBI
2010
179views more  BMCBI 2010»
14 years 9 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
NOMS
2006
IEEE
15 years 3 months ago
An Enhanced Estimator to Multi-objective OSPF Weight Setting Problem
— Open Shortest Path First (OSPF) is a routing protocol which is widely used in the Industry. Its functionality mainly depends on the weights assigned to the links. Given the tra...
Mohammed H. Sqalli, Sadiq M. Sait, Mohammed Aijaz ...
CVPR
2008
IEEE
14 years 11 months ago
Probabilistic multi-tensor estimation using the Tensor Distribution Function
Diffusion weighted magnetic resonance (MR) imaging is a powerful tool that can be employed to study white matter microstructure by examining the 3D displacement profile of water m...
Alex D. Leow, Siwei Zhu, Katie McMahon, Greig I. d...