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ICML
1999
IEEE
14 years 10 months ago
Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
14 years 10 months ago
An association analysis approach to biclustering
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
Gaurav Pandey, Gowtham Atluri, Michael Steinbach, ...
BMCBI
2008
139views more  BMCBI 2008»
13 years 9 months ago
The C1C2: A framework for simultaneous model selection and assessment
Background: There has been recent concern regarding the inability of predictive modeling approaches to generalize to new data. Some of the problems can be attributed to improper m...
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg
IVS
2008
121views more  IVS 2008»
13 years 9 months ago
Using treemaps for variable selection in spatio-temporal visualisation
We demonstrate and reflect upon the use of enhanced treemaps that incorporate spatial and temporal ordering for exploring a large multivariate spatio-temporal data set. The result...
Aidan Slingsby, Jason Dykes, Jo Wood
VEE
2012
ACM
226views Virtualization» more  VEE 2012»
12 years 5 months ago
Protecting applications against TOCTTOU races by user-space caching of file metadata
Time Of Check To Time Of Use (TOCTTOU) race conditions for file accesses in user-space applications are a common problem in Unix-like systems. The mapping between filename and i...
Mathias Payer, Thomas R. Gross