Volume 109, Number 12, December 2020
Binary classification with ambiguous training data.

Naoya Otani Yosuke Otsubo Tetsuya Koike Masashi Sugiyama

Spanning attack: reinforce black-box attacks with unlabeled data.

Lu Wang Huan Zhang Jinfeng Yi Cho-Jui Hsieh Yuan Jiang

Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach.

Jinhong Jung Lee Sael

Boost image captioning with knowledge reasoning.

Feicheng Huang Zhixin Li Haiyang Wei Canlong Zhang Huifang Ma

Robust high dimensional expectation maximization algorithm via trimmed hard thresholding.

Di Wang Xiangyu Guo Shi Li Jinhui Xu

Learning with mitigating random consistency from the accuracy measure.

Jieting Wang Yuhua Qian Feijiang Li

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

Kee-Eung Kim Vineeth N. Balasubramanian

Volume 109, Number 11, November 2020
Ensembles of extremely randomized predictive clustering trees for predicting structured outputs.

Dragi Kocev Michelangelo Ceci Tomaz Stepisnik

Predicting rice phenotypes with meta and multi-target learning.

Oghenejokpeme I. Orhobor Nickolai N. Alexandrov Ross D. King

Embedding-based Silhouette community detection.

Blaz Skrlj Jan Kralj Nada Lavrac

Multi-label feature ranking with ensemble methods.

Matej Petkovic Saso Dzeroski Dragi Kocev

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

Aljaz Osojnik Pance Panov Saso Dzeroski

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

Sujay Khandagale Han Xiao Rohit Babbar

Unsupervised representation learning with Minimax distance measures.

Morteza Haghir Chehreghani

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

Zahraa S. Abdallah Mohamed Medhat Gaber

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

Vítor Cerqueira Luís Torgo Igor Mozetic

Guest editors' introduction to the special issue on Discovery Science.

Larisa N. Soldatova Joaquin Vanschoren

In memory of Tom Fawcett.

Foster J. Provost

Volume 109, Number 9-10, September 2020
Fast greedy C-bound minimization with guarantees.

Baptiste Bauvin Cécile Capponi Jean-Francis Roy François Laviolette

High-dimensional Bayesian optimization using low-dimensional feature spaces.

Riccardo Moriconi Marc Peter Deisenroth K. S. Sesh Kumar

Weak approximation of transformed stochastic gradient MCMC.

Soma Yokoi Takuma Otsuka Issei Sato

Skew Gaussian processes for classification.

Alessio Benavoli Dario Azzimonti Dario Piga

A decision-theoretic approach for model interpretability in Bayesian framework.

Homayun Afrabandpey Tomi Peltola Juho Piironen Aki Vehtari Samuel Kaski

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

Hwanjun Song Sundong Kim Minseok Kim Jae-Gil Lee

Imbalanced regression and extreme value prediction.

Rita P. Ribeiro Nuno Moniz

Learning representations from dendrograms.

Morteza Haghir Chehreghani Mostafa Haghir Chehreghani

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

Haw-Shiuan Chang Shankar Vembu Sunil Mohan Rheeya Uppaal Andrew McCallum

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

Emanuele Pesce Giovanni Montana

Active deep Q-learning with demonstration.

Si-An Chen Voot Tangkaratt Hsuan-Tien Lin Masashi Sugiyama

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

Ira Assent Carlotta Domeniconi Aristides Gionis Eyke Hüllermeier

Volume 109, Number 7, July 2020
Propositionalization and embeddings: two sides of the same coin.

Nada Lavrac Blaz Skrlj Marko Robnik-Sikonja

Transfer learning by mapping and revising boosted relational dependency networks.

Rodrigo Azevedo Santos Aline Paes Gerson Zaverucha

Inductive general game playing.

Andrew Cropper Richard Evans Mark Law

Constructing generative logical models for optimisation problems using domain knowledge.

Ashwin Srinivasan Lovekesh Vig Gautam Shroff

Logical reduction of metarules.

Andrew Cropper Sophie Tourret

Learning higher-order logic programs.

Andrew Cropper Rolf Morel Stephen Muggleton

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

Dimitar Kazakov Filip Zelezný

Reflections on reciprocity in research.

Peter A. Flach

Volume 109, Number 6, June 2020
Exploiting causality in gene network reconstruction based on graph embedding.

Gianvito Pio Michelangelo Ceci Francesca Prisciandaro Donato Malerba

Ranking by inspiration: a network science approach.

Livio Bioglio Valentina Rho Ruggero G. Pensa

Feature ranking for multi-target regression.

Matej Petkovic Dragi Kocev Saso Dzeroski

Effective approximation of parametrized closure systems over transactional data streams.

Daniel Trabold Tamás Horváth Stefan Wrobel

Guest Editorial: Special issue on Discovery Science.

Takuya Kida Tetsuji Kuboyama Takeaki Uno Akihiro Yamamoto

Volume 109, Number 5, May 2020
Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP.

Mariam Kiran Cong Wang George Papadimitriou Anirban Mandal Ewa Deelman

Engineering problems in machine learning systems.

Hiroshi Kuwajima Hirotoshi Yasuoka Toshihiro Nakae

Editorial: Machine learning for safety-critical applications in engineering.

Mariam Kiran Samir Khan

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

Dan Halbersberg Maydan Wienreb Boaz Lerner

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

Alberto N. Escalante-B. Laurenz Wiskott

Sparse hierarchical regression with polynomials.

Dimitris Bertsimas Bart P. G. Van Parys

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

Yu Nishiyama Motonobu Kanagawa Arthur Gretton Kenji Fukumizu

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

Tianbao Yang Lijun Zhang Qihang Lin Shenghuo Zhu Rong Jin

Volume 109, Number 4, April 2020
On cognitive preferences and the plausibility of rule-based models.

Johannes Fürnkranz Tomás Kliegr Heiko Paulheim

Distributed block-diagonal approximation methods for regularized empirical risk minimization.

Ching-Pei Lee Kai-Wei Chang

Classification using proximity catch digraphs.

Artür Manukyan Elvan Ceyhan

Learning from positive and unlabeled data: a survey.

Jessa Bekker Jesse Davis

Scalable Bayesian preference learning for crowds.

Edwin Simpson Iryna Gurevych

Conditional density estimation and simulation through optimal transport.

Esteban G. Tabak Giulio Trigila Wenjun Zhao

Volume 109, Number 3, March 2020
Few-shot learning with adaptively initialized task optimizer: a practical meta-learning approach.

Han-Jia Ye Xiang-Rong Sheng De-Chuan Zhan

Multi-label optimal margin distribution machine.

Zhi-Hao Tan Peng Tan Yuan Jiang Zhi-Hua Zhou

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

Longhao Yuan Chao Li Jianting Cao Qibin Zhao

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

Qiang Zhou Yu Chen Sinno Jialin Pan

Handling concept drift via model reuse.

Peng Zhao Le-Wen Cai Zhi-Hua Zhou

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

Yongchan Kwon Wonyoung Kim Masashi Sugiyama Myunghee Cho Paik

Skill-based curiosity for intrinsically motivated reinforcement learning.

Nicolas Bougie Ryutaro Ichise

Gradient descent optimizes over-parameterized deep ReLU networks.

Difan Zou Yuan Cao Dongruo Zhou Quanquan Gu

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

Wenzhang Zhuge Chenping Hou Shaoliang Peng Dongyun Yi

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

Kee-Eung Kim Jun Zhu

Volume 109, Number 2, February 2020
A survey on semi-supervised learning.

Jesper E. van Engelen Holger H. Hoos

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

Koji Tabata Atsuyoshi Nakamura Junya Honda Tamiki Komatsuzaki

Predictive spreadsheet autocompletion with constraints.

Samuel Kolb Stefano Teso Anton Dries Luc De Raedt

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

Soham Sarkar Rahul Biswas Anil Kumar Ghosh

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

Nastasiya F. Grinberg Oghenejokpeme I. Orhobor Ross D. King

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

Jia He Changying Du Fuzhen Zhuang Xin Yin Qing He Guoping Long

Volume 109, Number 1, January 2020
Kappa Updated Ensemble for drifting data stream mining.

Alberto Cano Bartosz Krawczyk

Sum-product graphical models.

Mattia Desana Christoph Schnörr

Provable accelerated gradient method for nonconvex low rank optimization.

Huan Li Zhouchen Lin

Combining Bayesian optimization and Lipschitz optimization.

Mohamed Osama Ahmed Sharan Vaswani Mark Schmidt

Rankboost+: an improvement to Rankboost.

Harold S. Connamacher Nikil Pancha Rui Liu Soumya Ray

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

Vojtech Kovarík Viliam Lisý