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ICML
1994
IEEE
15 years 7 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
16 years 4 months ago
DiMaC: a disguised missing data cleaning tool
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
LISA
2008
15 years 6 months ago
Concord: A Secure Mobile Data Authorization Framework for Regulatory Compliance
With the increasing adoption of mobile computing devices that carry confidential data, organizations need to secure data in an ever-changing environment. Critical organizational d...
Gautam Singaraju, Brent Hoon Kang
SIGMOD
2008
ACM
167views Database» more  SIGMOD 2008»
16 years 4 months ago
DiMaC: a system for cleaning disguised missing data
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
BMCBI
2005
73views more  BMCBI 2005»
15 years 4 months ago
An analysis of extensible modelling for functional genomics data
Background: Several data formats have been developed for large scale biological experiments, using a variety of methodologies. Most data formats contain a mechanism for allowing e...
Andrew R. Jones, Norman W. Paton