Machine Learning（ML ）的NOVEMBER 2013, ISSUE 2-3论文列表

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

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