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» Stability of Feature Selection Algorithms
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CIKM
2010
Springer
13 years 5 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
AI
2004
Springer
13 years 8 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu
INFOCOM
2003
IEEE
14 years 1 months ago
Load Balancing and Stability Issues in Algorithms for Service Composition
— Service composition enables flexible creation of new services by assembling independent service components. We are focused on the scenario where such composition takes place a...
Bhaskaran Raman, Randy H. Katz
IROS
2008
IEEE
119views Robotics» more  IROS 2008»
14 years 2 months ago
Robust stability analysis of a bilateral teleoperation system using the parameter space approach
— One of the main challenges in telerobotics is the selection of control architectures and control parameters, which are able to robustly stabilize the overall teleoperation syst...
Angelika Peer, Martin Buss
BMCBI
2010
158views more  BMCBI 2010»
13 years 8 months ago
A Bayesian network approach to feature selection in mass spectrometry data
Background: Time-of-flight mass spectrometry (TOF-MS) has the potential to provide non-invasive, high-throughput screening for cancers and other serious diseases via detection of ...
Karl W. Kuschner, Dariya I. Malyarenko, William E....