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» Robust model selection with flexible trimming
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NN
2008
Springer
169views Neural Networks» more  NN 2008»
15 years 12 days ago
Modeling a flexible representation machinery of human concept learning
dely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of ho...
Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouch...
89
Voted
DATAMINE
2006
127views more  DATAMINE 2006»
15 years 15 days ago
Computing LTS Regression for Large Data Sets
Least trimmed squares (LTS) regression is based on the subset of h cases (out of n) whose least squares t possesses the smallest sum of squared residuals. The coverage h may be se...
Peter Rousseeuw, Katrien van Driessen
AIPS
2009
15 years 1 months ago
Flexible Execution of Plans with Choice
Dynamic plan execution strategies allow an autonomous agent to respond to uncertainties while improving robustness and reducing the need for an overly conservative plan. Executive...
Patrick R. Conrad, Julie A. Shah, Brian C. William...
98
Voted
ICIP
2003
IEEE
15 years 5 months ago
A flexible multimodal object tracking system
In this paper we present a flexible multimodal object tracking system. It is based on a particle filter which combines the outputs of different measurement methods (also called ...
Harald Breit, Gerhard Rigoll
84
Voted
COLING
2002
15 years 9 days ago
An Agent-based Approach to Chinese Named Entity Recognition
Chinese NE (Named Entity) recognition is a difficult problem because of the uncertainty in word segmentation and flexibility in language structure. This paper proposes the use of ...
Shiren Ye, Tat-Seng Chua, Jimin Liu