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JMLR
2010
144views more  JMLR 2010»
15 years 1 months ago
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Alexander Ilin, Tapani Raiko
BMCBI
2007
107views more  BMCBI 2007»
15 years 6 months ago
Linking microarray reporters with protein functions
Background: The analysis of microarray experiments requires accurate and up-to-date functional annotation of the microarray reporters to optimize the interpretation of the biologi...
Stan Gaj, Arie van Erk, Rachel I. M. van Haaften, ...
CHI
2011
ACM
14 years 10 months ago
Improving the safety of homeless young people with mobile phones: values, form and function
By their pervasiveness and by being worn on our bodies, mobile phones seem to have become intrinsic to safety. To examine this proposition, 43 participants, from four stakeholder ...
Jill Palzkill Woelfer, Amy Iverson, David G. Hendr...
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 8 months ago
Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
Emre H. Brookes, Borries Demeler
SIGMOD
1999
ACM
112views Database» more  SIGMOD 1999»
15 years 11 months ago
A New Method for Similarity Indexing of Market Basket Data
In recent years, many data mining methods have been proposed for finding useful and structured information from market basket data. The association rule model was recently propos...
Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu