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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...
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data
Efficient Regularized；Least-Squares；Algorithms；Conditional Ranking；Relational Data
2012/11/23
In domains like bioinformatics, information retrieval and social network analysis, one can find learning tasks where the goal consists of inferring a ranking of objects, conditioned on a particular ta...
The question of aggregating pairwise comparisons to obtain a global ranking over a collection of objects has been of interest for a very long time: be it ranking of online gamers (e.g. MSR's TrueSkill...
It is of increasing importance to develop learning methods for ranking. In contrast to many learning objectives, however, the ranking problem presents difficulties due to the fact that the space of pe...
Loss Function Based Ranking in Two-Stage, Hierarchical Models
percentiling Bayesian models decision theory operating characteristic
2009/9/21
Performance evaluations of health services providers burgeons. Simi-
larly, analyzing spatially related health information, ranking teachers and schools,
and identification of differentially express...
Product Screening to Multicustomer Preferences: Multiresponse Unreplicated Nested Super-ranking
Multicustomer Preferences Super-ranking Product
2009/9/3
Modern production methods demand the synchronous multicharacteristic optimization of goods. There is a need to diversify a basic product to the importance placed on its individual quality components b...
Gene ranking and biomarker discovery under correlation
Gene ranking biomarker discovery correlation
2010/3/18
Biomarker discovery and gene ranking is a standard task in genomic
high throughput analysis. Typically, the ordering of markers is based on a stabilized
variant of the t-score, such as the moderated...