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» Approximating Component Selection
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ICDS
2008
IEEE
15 years 9 months ago
A New Server Selection Strategy for Reliable Server Pooling in Widely Distributed Environments
In order to provide a generic, applicationindependent and resource-efficient framework for server redundancy and session failover, the IETF RSerPool WG is currently standardizing ...
Xing Zhou, Thomas Dreibholz, Erwin P. Rathgeb
IROS
2007
IEEE
158views Robotics» more  IROS 2007»
15 years 9 months ago
Feature selection in conditional random fields for activity recognition
Abstract— Temporal classification, such as activity recognition, is a key component for creating intelligent robot systems. In the case of robots, classification algorithms mus...
Douglas L. Vail, John D. Lafferty, Manuela M. Velo...
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 4 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
TCBB
2011
14 years 10 months ago
Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
Sangyoon Oh, Min Su Lee, Byoung-Tak Zhang
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
15 years 9 months ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
Hyunjin Yoon, Cyrus Shahabi