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Machine Learning （ML） - April 2020, issue 4 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： April 2020, issue 4
发布时间：
卷期年份： 2020
卷期官网： https://link.springer.com/journal/10994/volumes-and-issues/109-4
本期论文列表
Conditional density estimation and simulation through optimal transport

Scalable Bayesian preference learning for crowds

Learning from positive and unlabeled data: a survey

Classification using proximity catch digraphs

Distributed block-diagonal approximation methods for regularized empirical risk minimization

On cognitive preferences and the plausibility of rule-based models

An empirical analysis of binary transformation strategies and base algorithms for multi-label learning

Correction to: Efficient feature selection using shrinkage estimators

Double random forest

Classification with costly features as a sequential decision-making problem

Anomaly detection with inexact labels

Robust classification via MOM minimization

Correction to: Robust classification via MOM minimization

Discovering subjectively interesting multigraph patterns

Foreword: special issue for the journal track of the 12th Asian conference on machine learning (ACML 2020)

Learning with mitigating random consistency from the accuracy measure

Robust high dimensional expectation maximization algorithm via trimmed hard thresholding

Boost image captioning with knowledge reasoning

Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach

Spanning attack: reinforce black-box attacks with unlabeled data

Binary classification with ambiguous training data

Online Bayesian max-margin subspace learning for multi-view classification and regression

An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat

On some graph-based two-sample tests for high dimension, low sample size data

Predictive spreadsheet autocompletion with constraints

A bad arm existence checking problem: How to utilize asymmetric problem structure?

A survey on semi-supervised learning

Analysis of Hannan consistent selection for Monte Carlo tree search in simultaneous move games

Rankboost\(+\): an improvement to Rankboost

Combining Bayesian optimization and Lipschitz optimization

Provable accelerated gradient method for nonconvex low rank optimization

Sum–product graphical models

Kappa Updated Ensemble for drifting data stream mining

Reflections on reciprocity in research

Guest editors’ introduction: special issue on Inductive Logic Programming (ILP 2019)

Learning higher-order logic programs

Logical reduction of metarules

Constructing generative logical models for optimisation problems using domain knowledge

Inductive general game playing

Transfer learning by mapping and revising boosted relational dependency networks

Propositionalization and embeddings: two sides of the same coin

Guest Editorial: Special issue on Discovery Science

Effective approximation of parametrized closure systems over transactional data streams

Feature ranking for multi-target regression

Ranking by inspiration: a network science approach

Exploiting causality in gene network reconstruction based on graph embedding

Foreword: special issue for the journal track of the 11th Asian Conference on Machine Learning (ACML 2019)

Joint consensus and diversity for multi-view semi-supervised classification

Gradient descent optimizes over-parameterized deep ReLU networks

Skill-based curiosity for intrinsically motivated reinforcement learning

Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric

Handling concept drift via model reuse

Communication-efficient distributed multi-task learning with matrix sparsity regularization

Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion

Multi-label optimal margin distribution machine

Few-shot learning with adaptively initialized task optimizer: a practical meta-learning approach

High-dimensional model recovery from random sketched data by exploring intrinsic sparsity

Model-based kernel sum rule: kernel Bayesian inference with probabilistic models

Sparse hierarchical regression with polynomials

Improved graph-based SFA: information preservation complements the slowness principle

Joint maximization of accuracy and information for learning the structure of a Bayesian network classifier

Editorial: Machine learning for safety–critical applications in engineering

Engineering problems in machine learning systems

Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP

In memory of Tom Fawcett

Guest editors’ introduction to the special issue on Discovery Science

Evaluating time series forecasting models: an empirical study on performance estimation methods

Co-eye: a multi-resolution ensemble classifier for symbolically approximated time series

Unsupervised representation learning with Minimax distance measures

Bonsai: diverse and shallow trees for extreme multi-label classification

Incremental predictive clustering trees for online semi-supervised multi-target regression

Multi-label feature ranking with ensemble methods

Embedding-based Silhouette community detection

Predicting rice phenotypes with meta and multi-target learning

Ensembles of extremely randomized predictive clustering trees for predicting structured outputs

Introduction to the special issue of the ECML PKDD 2020 journal track

Active deep Q-learning with demonstration

Improving coordination in small-scale multi-agent deep reinforcement learning through memory-driven communication

Using error decay prediction to overcome practical issues of deep active learning for named entity recognition

Learning representations from dendrograms

Imbalanced regression and extreme value prediction

Ada-boundary: accelerating DNN training via adaptive boundary batch selection

A decision-theoretic approach for model interpretability in Bayesian framework

Skew Gaussian processes for classification

Weak approximation of transformed stochastic gradient MCMC

High-dimensional Bayesian optimization using low-dimensional feature spaces

Fast greedy \(\mathcal {C}\)-bound minimization with guarantees