Machine Learning （ML） - November 2013, issue 2-3 论文列表
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| 卷期号： November 2013, issue 2-3 |
| 发布时间： |
| 卷期年份： 2013 |
| 卷期官网： https://link.springer.com/journal/10994/volumes-and-issues/93-2 |
本期论文列表
Editorial: Preference learning and ranking
Supervised clustering of label ranking data using label preference information
Calibration and regret bounds for order-preserving surrogate losses in learning to rank
Tune and mix: learning to rank using ensembles of calibrated multi-class classifiers
BoostingTree: parallel selection of weak learners in boosting, with application to ranking
Efficient regularized least-squares algorithms for conditional ranking on relational data
Sequential event prediction
Robust ordinal regression in preference learning and ranking
Guest editor’s introduction: special issue of the ECML PKDD 2013 journal track
Probabilistic topic models for sequence data
Block coordinate descent algorithms for large-scale sparse multiclass classification
The flip-the-state transition operator for restricted Boltzmann machines
ROC curves in cost space
A comparative evaluation of stochastic-based inference methods for Gaussian process models
Spatio-temporal random fields: compressible representation and distributed estimation
Pairwise meta-rules for better meta-learning-based algorithm ranking
Differential privacy based on importance weighting