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ADMA
2008
Springer
114views Data Mining» more  ADMA 2008»
16 years 22 days ago
Using Data Mining Methods to Predict Personally Identifiable Information in Emails
Private information management and compliance are important issues nowadays for most of organizations. As a major communication tool for organizations, email is one of the many pot...
Liqiang Geng, Larry Korba, Xin Wang, Yunli Wang, H...
NIPS
2007
15 years 7 months ago
Multi-task Gaussian Process Prediction
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
Edwin V. Bonilla, Kian Ming Chai, Christopher K. I...
JIB
2006
220views more  JIB 2006»
15 years 6 months ago
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
SIGKDD
2008
132views more  SIGKDD 2008»
15 years 6 months ago
Retail sales prediction and item recommendations using customer demographics at store level
This paper outlines a retail sales prediction and product recommendation system that was implemented for a chain of retail stores. The relative importance of consumer demographic ...
Michael Giering
BMCBI
2008
136views more  BMCBI 2008»
15 years 6 months ago
Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models
Background: When predictive survival models are built from high-dimensional data, there are often additional covariates, such as clinical scores, that by all means have to be incl...
Harald Binder, Martin Schumacher