Browsing by Author "Page, David"
Now showing items 1-5 of 5
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Comparative Data Mining for Microarrays: A Case Study Based on Multiple Myeloma
Page, David; Zhan, Fenghuang; Cussens, James; Waddell, Michael; Hardin, Johanna; Barlogic, Bart; JR, John Shaughnessy (University of Wisconsin-Madison Department of Computer Sciences, 2002) -
Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions
Hellerstein, Lisa; Rosell, Bernard; Bach, Eric; Ray, Soumya; Page, David (University of Wisconsin-Madison Department of Computer Sciences, 2008)A Boolean function f is correlation immune if each input variable is independent of the output, under the uniform distribution on inputs. (For example, the parity function is correlation immune.) We consider the problem ... -
Inferring Regulatory Pathways in E. Coli using Dynamic Bayesian Networks
Ong, Irene; Page, David (University of Wisconsin-Madison Department of Computer Sciences, 2001) -
Learnability of Dynamic Bayesian Networks from Time Series Microarray Data
Page, David; Ong, Irene M. (University of Wisconsin-Madison Department of Computer Sciences, 2004)Dynamic Bayesian networks (DBNs) are becoming widely used to learn gene regulatory networks from time series microarray data. Careful experimental design is required for data generation, because of the high cost of running ... -
Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation
Santos Costa, Vitor; Page, David; Davis, Jesse; Boyd, Kendrick (University of Wisconsin-Madison Department of Computer Sciences, 2012-05-30)Precision-recall (PR) curves and the areas under them are widely used to summarize machine learning results, especially for data sets exhibiting class skew. They are often used analogously to ROC curves and the area under ...