Speeding Up Distributed Machine Learning Using Codes

Kangwook Lee, Maximilian Lam, Ramtin Pedarsani

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems

Laura von Rueden, Sebastian Mayer, Katharina Beckh

Finding Density Functionals with Machine Learning

John Snyder, Matthias Rupp, Katja Hansen

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

Onur Avcı, Osama Abdeljaber, Serkan Kıranyaz

A review of the application of machine learning in water quality evaluation

Mengyuan Zhu, Jiawei Wang, Xiao Yang

Dataset Shift in Machine Learning

Niall M. Adams

From machine learning to deep learning: progress in machine intelligence for rational drug discovery

Lu Zhang, Jianjun Tan, Dan Han

Super-resolution reconstruction of turbulent flows with machine learning

Kai Fukami, Koji Fukagata, Kunihiko Taira

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Stephen Boyd, Neal Parikh, Eric Chu

A Machine Learning Approach to Coreference Resolution of Noun Phrases

Wee Meng Soon, Hwee Tou Ng, Daniel Chung Yong Lim

Proceedings of the 22nd international conference on Machine learning - ICML '05

Machine Learning: New Ideas and Tools in Environmental Science and Engineering

Shifa Zhong, Kai Zhang, Majid Bagheri