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» Two Algorithms for Inducing Causal Models from Data
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ISQED
2010
IEEE
128views Hardware» more  ISQED 2010»
14 years 1 months ago
Soft error rate determination for nanoscale sequential logic
We analyze the neutron induced soft error rate (SER) by modeling induced error pulse using two parameters, occurrence frequency and probability density function for the pulse widt...
Fan Wang, Vishwani D. Agrawal
JUCS
2008
160views more  JUCS 2008»
13 years 8 months ago
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches
: The definition of the Fuzzy Rule Base is one of the most important and difficult tasks when designing Fuzzy Systems. This paper discusses the results of two different hybrid meth...
Marcos Evandro Cintra, Heloisa de Arruda Camargo, ...
ASC
2011
13 years 3 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
14 years 8 months ago
Structured entity identification and document categorization: two tasks with one joint model
Traditionally, research in identifying structured entities in documents has proceeded independently of document categorization research. In this paper, we observe that these two t...
Indrajit Bhattacharya, Shantanu Godbole, Sachindra...
BMCBI
2010
172views more  BMCBI 2010»
13 years 8 months ago
Comparison of evolutionary algorithms in gene regulatory network model inference
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
Alina Sîrbu, Heather J. Ruskin, Martin Crane