Machine Learning （ML） - July 2016, issue 1 论文列表
| 点击这里查看 Machine Learning 的JCR分区、影响因子等信息 |
| 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 |
本期论文列表
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