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» Generalization Error Bounds Using Unlabeled Data
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TKDE
2011
479views more  TKDE 2011»
14 years 4 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang
VLDB
2004
ACM
227views Database» more  VLDB 2004»
15 years 3 months ago
Approximate NN queries on Streams with Guaranteed Error/performance Bounds
In data stream applications, data arrive continuously and can only be scanned once as the query processor has very limited memory (relative to the size of the stream) to work with...
Nick Koudas, Beng Chin Ooi, Kian-Lee Tan, Rui Zhan...
SIGMETRICS
2008
ACM
128views Hardware» more  SIGMETRICS 2008»
14 years 9 months ago
Confident estimation for multistage measurement sampling and aggregation
Measurement, collection, and interpretation of network usage data commonly involves multiple stage of sampling and aggregation. Examples include sampling packets, aggregating them...
Edith Cohen, Nick G. Duffield, Carsten Lund, Mikke...
SIAMCO
2010
97views more  SIAMCO 2010»
14 years 4 months ago
Real-Time Nonlinear Optimization as a Generalized Equation
Abstract. We establish results for the problem of tracking a time-dependent manifold arising in realtime optimization by casting this as a parametric generalized equation. We demon...
Victor M. Zavala, Mihai Anitescu
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
15 years 10 months ago
Regression error characteristic surfaces
This paper presents a generalization of Regression Error Characteristic (REC) curves. REC curves describe the cumulative distribution function of the prediction error of models an...
Luís Torgo