Machine Learning（ML ）的JULY 2016, ISSUE 1论文列表

卷期号： July 2016, issue 1

发布时间：

卷期年份： 2016

卷期官网： https://link.springer.com/journal/10994/volumes-and-issues/104-1

A novel probabilistic clustering model for heterogeneous networks

Swamping and masking in Markov boundary discovery

Multi-target regression via input space expansion: treating targets as inputs

Bayesian policy reuse

Learning rotations with little regret

Guest editors’ introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning

\(\text {ALR}^n\): accelerated higher-order logistic regression

Fast and scalable Lasso via stochastic Frank–Wolfe methods with a convergence guarantee

Factorizing LambdaMART for cold start recommendations

A topological insight into restricted Boltzmann machines

Adaptive trajectory analysis of replicator dynamics for data clustering

On the need for structure modelling in sequence prediction

Interpretable domain adaptation via optimization over the Stiefel manifold

Probabilistic inference for determining options in reinforcement learning

Cost-sensitive boosting algorithms: Do we really need them?

Learning to control a structured-prediction decoder for detection of HTTP-layer DDoS attackers

Rényi divergence minimization based co-regularized multiview clustering

Sparse topical analysis of dyadic data using matrix tri-factorization