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» The Predictability of Data Values
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JMLR
2010
144views more  JMLR 2010»
14 years 7 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
102
Voted
COLT
2004
Springer
15 years 4 months ago
Minimizing Regret with Label Efficient Prediction
We investigate label efficient prediction, a variant, proposed by Helmbold and Panizza, of the problem of prediction with expert advice. In this variant, the forecaster, after gues...
Nicolò Cesa-Bianchi, Gábor Lugosi, G...
86
Voted
ECIS
2004
15 years 2 months ago
A conceptual model of customer value in e-commerce
Customer value is crucial in predicting customer choice in traditional consumer behavior research. However, online customer value can be different from its offline counterpart bec...
Yunjie Xu, Shun Cai
121
Voted
ESANN
2000
15 years 2 months ago
Distributed clustering and local regression for knowledge discovery in multiple spatial databases
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
86
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AGILEDC
2003
IEEE
15 years 6 months ago
Making Agile Development Work in a Government Contracting Environment - Measuring velocity with Earned Value
: Before any of the current “agile” development methods, Earned Value Management provided information for planning and controlling complex projects by measuring how much “val...
Glen B. Alleman, Michael Henderson, Ray Seggelke