Proceedings of the 23rd international conference on Machine learning - ICML '06

Building thermal load prediction through shallow machine learning and deep learning

Zhe Wang, Tianzhen Hong, Mary Ann Piette

Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data

Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa et al.

Non-convex Optimization for Machine Learning

Prateek Jain, Purushottam Kar

Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging

Subhi J. Al’Aref, Khalil Anchouche, Gurpreet Singh et al.

Graphical models for machine learning and digital communication

Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data

Jaideep Pathak, Zhixin Lu, Brian R. Hunt

Effect of data encoding on the expressive power of variational quantum-machine-learning models

Maria Schuld, Ryan Sweke, Johannes Jakob Meyer

Estimating probabilities: a crucial task in machine learning

Bojan Cestnik

Applications of Support Vector Machine (SVM) Learning in Cancer Genomics

Shujun Huang, Nianguang Cai, P. Pacheco

Building Trust in Artificial Intelligence, Machine Learning, and Robotics

Keng Siau, Weiyu Wang

An overview and comparison of machine-learning techniques for classification purposes in digital soil mapping

Brandon Heung, Hung Chak Ho, Jin Zhang