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The student's dilemma: ranking and improving prediction at test time without access to training data
The student's dilemma ranking improving prediction test time without access training data
2013/4/27
The standard approach to rank the performance of several classifiers for a given classification problem is via an independent labeled validation dataset. However, in various applications only unlabele...
Loss-sensitive Training of Probabilistic Conditional Random Fields
Loss-sensitive Training Probabilistic Conditional Random Fields
2011/7/19
We consider the problem of training probabilistic conditional random fields (CRFs) in the context of a task where performance is measured using a specific loss function. While maximum likelihood is th...
In many recent applications, data is plentiful. By now, we have a rather clear understanding of how more data can be used to improve the accuracy of learning algorithms. Recently, there has been a gro...
Statistical Methods for Analyzing Tissue Microarray Images - Algorithmic Scoring and Co-training
Statistical Methods Analyzing Tissue Microarray Images Algorithmic Scoring Co-training
2011/3/18
Recent advances in tissue microarray technology have allowed immuno-histochemistry to become a powerful medium-to-high throughput analysis tool, particularly for the validation of diagnostic and progn...
Runway Incursions: Airport Movement Area Driver Training Demographics Suggests Revisions to Airport Driver Training Methods
Airport Driver Training Aviation Safety Runway Safety Airport Safety Driver Training Demographics
2009/12/1
This paper examines the problem of runway incursions at the (OEP-35) U.S. towered
airports. According to the FAA Runway Safety Report (2004), vehicle deviations accounted for
20% (291 events) of a...