TOPICS<br>Topics of interest include but are not limited to:<br>1. Learning problems<br>– Active learning<br>– Bayesian machine learning<br>– Deep learning, latent variable models<br>– Dimensionality reduction<br>– Feature selection<br>– Graphical models<br>– Learning for big data<br>– Learning in graphs<br>– Multiple instance learning<br>– Multi–objective learning<br>– Multi–task learning<br>– Semi–supervised learning<br>– Sparse learning<br>– Structured output learning<br>– Supervised learning<br>– Online learning<br>– Transfer learning<br>– Unsupervised learning<br>2. Analysis of learning systems<br>– Computational learning theory<br>– Experimental evaluation<br>– Knowledge refinement<br>– Reproducible research<br>– Statistical learning theory<br>3. Applications<br>– Bioinformatics<br>– Biomedical information<br>– Collaborative filtering<br>– Healthcare<br>– Computer vision<br>– Human activity recognition<br>– Information retrieval<br>– Natural language processing<br>– Social networks<br>– Web search<br>4. Learning in knowledge–intensive systems<br>– Knowledge refinement and theory revision<br>– Multi–strategy learning<br>– Other systems<br>
Abbrevation
ACML
City
Beijing
Country
China
Deadline Paper
Start Date
End Date
Abstract