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ICML
2002
IEEE
14 years 9 months ago
Univariate Polynomial Inference by Monte Carlo Message Length Approximation
We apply the Message from Monte Carlo (MMC) algorithm to inference of univariate polynomials. MMC is an algorithm for point estimation from a Bayesian posterior sample. It partiti...
Leigh J. Fitzgibbon, David L. Dowe, Lloyd Allison
ESANN
2004
13 years 10 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
BMCBI
2006
114views more  BMCBI 2006»
13 years 9 months ago
Mining frequent patterns for AMP-activated protein kinase regulation on skeletal muscle
Background: AMP-activated protein kinase (AMPK) has emerged as a significant signaling intermediary that regulates metabolisms in response to energy demand and supply. An investig...
Qingfeng Chen, Yi-Ping Phoebe Chen
ICALP
2005
Springer
14 years 2 months ago
Petri Algebras
The firing rule of Petri nets relies on a residuation operation for the commutative monoid of natural numbers. We identify a class of residuated commutative monoids, called Petri ...
Eric Badouel, Jules Chenou, Goulven Guillou
VLDB
1998
ACM
147views Database» more  VLDB 1998»
14 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...