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» Prediction error methods for limit cycle data
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CORR
2007
Springer
109views Education» more  CORR 2007»
13 years 7 months ago
Optimal Causal Inference
We consider an information-theoretic objective function for statistical modeling of time series that embodies a parametrized trade-off between the predictive power of a model and...
Susanne Still, James P. Crutchfield, Christopher J...
AAAI
2011
12 years 7 months ago
End-User Feature Labeling via Locally Weighted Logistic Regression
Applications that adapt to a particular end user often make inaccurate predictions during the early stages when training data is limited. Although an end user can improve the lear...
Weng-Keen Wong, Ian Oberst, Shubhomoy Das, Travis ...
ICIP
2006
IEEE
14 years 9 months ago
On Performance Comparison of Real and Synthetic Iris Images
In the absence of real data for extensive testing of newly designed large-scale biometrics recognition systems a number of solutions are possible including use of resampling metho...
Jinyu Zuo, Natalia A. Schmid, Xiaohan Chen
KDD
2004
ACM
179views Data Mining» more  KDD 2004»
14 years 8 months ago
1-dimensional splines as building blocks for improving accuracy of risk outcomes models
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
David S. Vogel, Morgan C. Wang
TCSV
2010
13 years 2 months ago
No-Reference Quality Assessment of H.264/AVC Encoded Video
Abstract--This paper proposes a no-reference quality assessment metric for digital video subject to H.264/AVC encoding. The proposed metric comprises two main steps: coding error e...
Tomás Brandão, Tiago Rosa Maria Paul...