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KDD
1994
ACM
123views Data Mining» more  KDD 1994»
15 years 8 months ago
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
We describe scoring metrics for learning Bayesian networks from a combination of user knowledge and statistical data. We identify two important properties of metrics, which we cal...
David Heckerman, Dan Geiger, David Maxwell Chicker...
CSB
2004
IEEE
112views Bioinformatics» more  CSB 2004»
15 years 8 months ago
Inferring Genetic Networks from Microarray Data
In theory, it should be possible to infer realistic genetic networks from time series microarray data. In practice, however, network discovery has proved problematic. The three ma...
Shawn Martin, George Davidson, Elebeoba E. May, Je...
BIOCOMP
2006
15 years 6 months ago
Polyome: A Learning System for Extracting Bioinformatic Data
: The exponential growth in the quantity of publicly available genetic data and the proliferation of bioinformatic databases mean that scientists need computerized tools more than ...
Bob Myers, Trevor I. Dix, Ross L. Coppel, David G....
IADIS
2004
15 years 6 months ago
IDUX: Internationalization of Data Using XML
Interest is rapidly growing in internationalized software that can be localized to various languages. This paper describes IDUX, an XML-based system designed to support the proces...
Darcy G. Benoit, Tomasz Müldner
SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
15 years 6 months ago
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Ashok N. Srivastava