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» Experimental Design for Variable Selection in Data Bases
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JMLR
2011
157views more  JMLR 2011»
14 years 4 months ago
Variable Sparsity Kernel Learning
This paper1 presents novel algorithms and applications for a particular class of mixed-norm regularization based Multiple Kernel Learning (MKL) formulations. The formulations assu...
Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattac...
TKDE
2008
111views more  TKDE 2008»
14 years 9 months ago
Text Clustering with Feature Selection by Using Statistical Data
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
Yanjun Li, Congnan Luo, Soon M. Chung
VLDB
1997
ACM
142views Database» more  VLDB 1997»
15 years 1 months ago
Algorithms for Materialized View Design in Data Warehousing Environment
Selecting views to materialize is one of the most important decisions in designing a data warehouse. In this paper, we present a framework for analyzing the issues in selecting vi...
Jian Yang, Kamalakar Karlapalem, Qing Li
CAISE
1999
Springer
15 years 2 months ago
Designing the Global Data Warehouse with SPJ Views
Abstract. A global Data warehouse (DW) integrates data from multiple distributed heterogeneous databases and other information sources. DW can be abstractly seen as a set of materi...
Dimitri Theodoratos, Spyros Ligoudistianos, Timos ...
INFOCOM
1996
IEEE
15 years 1 months ago
Integrated Control of Connection Admission, Flow Rate, and Bandwidth for ATM Based Networks
: We consider the combined control problem of connection admission, flow rate, and bandwidth allocation (capacity, service-rate) under nonstationary conditions. A fluid flow model ...
Andreas Pitsillides, Petros A. Ioannou, David Tipp...