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» Feature selection based on the training set manipulation
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ICDM
2009
IEEE
149views Data Mining» more  ICDM 2009»
14 years 3 months ago
Accelerated Gradient Method for Multi-task Sparse Learning Problem
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbon...
BMCBI
2010
224views more  BMCBI 2010»
13 years 9 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
FPL
2006
Springer
105views Hardware» more  FPL 2006»
14 years 15 days ago
A Scalable Network ASIP Enabling Flow Awareness in Ethernet Access
In this paper we research an FPGA based Application Specific Instruction Set Processor (ASIP) tailored to the needs of a flow aware Ethernet access node. The processor has an arch...
K. Van Renterghem, Dieter Verhulst, S. Verschuere,...
CIKM
2009
Springer
14 years 3 months ago
Large margin transductive transfer learning
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Brian Quanz, Jun Huan
ATMOS
2007
119views Optimization» more  ATMOS 2007»
13 years 10 months ago
Models for Railway Track Allocation
The optimal track allocation problem (OPTRA) is to find, in a given railway network, a conflict free set of train routes of maximum value. We study two types of integer programmi...
Ralf Borndörfer, Thomas Schlechte