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» Predicting relative performance of classifiers from samples
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KDD
1995
ACM
95views Data Mining» more  KDD 1995»
13 years 11 months ago
Limits on Learning Machine Accuracy Imposed by Data Quality
Random errors and insufficiencies in databases limit the performance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the ...
Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chian...
ICASSP
2011
IEEE
12 years 11 months ago
Comparative threshold performance study for conditional and unconditional direction-of-arrival estimation
Comparative analysis of the threshold SNR and/or sample support values where genuine maximum likelihood DOA estimation starts to produce “outliers” is conducted for unconditio...
Yuri I. Abramovich, Ben A. Johnson
CORR
2011
Springer
147views Education» more  CORR 2011»
13 years 2 months ago
A Generalized Method for Integrating Rule-based Knowledge into Inductive Methods Through Virtual Sample Creation
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been ...
Ridwan Al Iqbal
CORR
2010
Springer
140views Education» more  CORR 2010»
13 years 7 months ago
Performance Bounds and Design Criteria for Estimating Finite Rate of Innovation Signals
In this paper, we consider the problem of estimating finite rate of innovation (FRI) signals from noisy measurements, and specifically analyze the interaction between FRI technique...
Zvika Ben-Haim, Tomer Michaeli, Yonina C. Eldar
ICML
2007
IEEE
14 years 8 months ago
Minimum reference set based feature selection for small sample classifications
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
Xue-wen Chen, Jong Cheol Jeong