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» Analyzing the Effectiveness of Multiple-Detect Test Sets
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BIB
2011
12 years 11 months ago
Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data
Developments in whole genome biotechnology have stimulated statistical focus on prediction methods. We review here methodology for classifying patients into survival risk groups a...
Richard M. Simon, Jyothi Subramanian, Ming-Chung L...
DAC
2006
ACM
13 years 9 months ago
Systematic software-based self-test for pipelined processors
Software-based self-test (SBST) has recently emerged as an effective methodology for the manufacturing test of processors and other components in systems-on-chip (SoCs). By moving ...
Mihalis Psarakis, Dimitris Gizopoulos, Miltiadis H...
SIGIR
2012
ACM
11 years 9 months ago
Predicting quality flaws in user-generated content: the case of wikipedia
The detection and improvement of low-quality information is a key concern in Web applications that are based on user-generated content; a popular example is the online encyclopedi...
Maik Anderka, Benno Stein, Nedim Lipka
IJON
2006
93views more  IJON 2006»
13 years 7 months ago
Eye movement predictions on natural videos
We analyze the predictability of eye movements of observers viewing dynamic scenes. We first assess the effectiveness of model-based prediction. The model is divided into inter-sa...
Martin Böhme, Michael Dorr, Christopher Kraus...
JCST
2006
128views more  JCST 2006»
13 years 7 months ago
Multi-Instance Learning from Supervised View
Abstract In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. This pa...
Zhi-Hua Zhou