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» Learning Measurement Models for Unobserved Variables
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71
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BIB
2010
89views more  BIB 2010»
14 years 8 months ago
Knowledge-based data analysis comes of age
The emergence of high-throughput technologies for measuring biological systems has introduced problems for data interpretation that must be addressed for proper inference. First, ...
Michael F. Ochs
95
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BMCBI
2006
175views more  BMCBI 2006»
14 years 9 months ago
Parameter estimation for stiff equations of biosystems using radial basis function networks
Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
Yoshiya Matsubara, Shinichi Kikuchi, Masahiro Sugi...
ECIS
2000
14 years 10 months ago
Perspectives on Knowledge Management Systems - Theoretical Framework and Design of an Empirical Study
Abstract- This paper deals with "Knowledge Management Systems" (KMS) which are seen as a new kind of information systems supporting organizational information processing....
Ronald Maier, Franz Lehner
78
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VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 1 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
98
Voted
IJCNN
2007
IEEE
15 years 3 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...