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» Model Selection and Error Estimation
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PRIS
2004
15 years 2 months ago
Effect of Feature Smoothing Methods in Text Classification Tasks
Abstract. The number of features to be considered in a text classification system is given by the size of the vocabulary and this is normally in the range of the tens or hundreds o...
David Vilar, Hermann Ney, Alfons Juan, Enrique Vid...
FCSC
2007
159views more  FCSC 2007»
15 years 22 days ago
Ranking with uncertain labels and its applications
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
Shuicheng Yan, Huan Wang, Jianzhuang Liu, Xiaoou T...
VLDB
2002
ACM
106views Database» more  VLDB 2002»
15 years 12 days ago
Structure and Value Synopses for XML Data Graphs
All existing proposals for querying XML (e.g., XQuery) rely on a pattern-specification language that allows (1) path navigation and branching through the label structure of the XM...
Neoklis Polyzotis, Minos N. Garofalakis
ICCAD
2004
IEEE
145views Hardware» more  ICCAD 2004»
15 years 9 months ago
Asymptotic probability extraction for non-normal distributions of circuit performance
While process variations are becoming more significant with each new IC technology generation, they are often modeled via linear regression models so that the resulting performanc...
Xin Li, Jiayong Le, Padmini Gopalakrishnan, Lawren...
84
Voted
TSP
2008
124views more  TSP 2008»
15 years 20 days ago
Robust Beamforming via Worst-Case SINR Maximization
Minimum variance beamforming, which uses a weight vector that maximizes the signal-to-interference-plus-noise ratio (SINR), is often sensitive to estimation error and uncertainty i...
Seung-Jean Kim, Alessandro Magnani, Almir Mutapcic...