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» Maximal Causality Analysis
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109
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ROCAI
2004
Springer
15 years 6 months ago
Optimizing Area Under Roc Curve with SVMs
For many years now, there is a growing interest around ROC curve for characterizing machine learning performances. This is particularly due to the fact that in real-world problems ...
Alain Rakotomamonjy
86
Voted
NOMS
2008
IEEE
15 years 7 months ago
A novel approach to bottleneck analysis in networks
—In this paper∗ , we devise a novel method for bottleneck analysis of UDP networks based on the concept of network utility maximization. To determine the losses on the links in...
Nikhil Shetty, Assane Gueye, Jean C. Walrand
77
Voted
NIPS
2007
15 years 2 months ago
On Ranking in Survival Analysis: Bounds on the Concordance Index
In this paper, we show that classical survival analysis involving censored data can naturally be cast as a ranking problem. The concordance index (CI), which quantifies the quali...
Vikas C. Raykar, Harald Steck, Balaji Krishnapuram...
111
Voted
CVPR
2008
IEEE
16 years 2 months ago
Semi-Supervised Discriminant Analysis using robust path-based similarity
Linear Discriminant Analysis (LDA), which works by maximizing the within-class similarity and minimizing the between-class similarity simultaneously, is a popular dimensionality r...
Yu Zhang, Dit-Yan Yeung
118
Voted
ICCV
2007
IEEE
16 years 2 months ago
Semi-supervised Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
Deng Cai, Xiaofei He, Jiawei Han