End-to-end data processing environments are often comprised of several independently-developed (sub-)systems, e.g. for engineering, organizational or historical reasons. Unfortuna...
We extend previous work on fully unsupervised part-of-speech tagging. Using a non-parametric version of the HMM, called the infinite HMM (iHMM), we address the problem of choosing...
Jurgen Van Gael, Andreas Vlachos, Zoubin Ghahraman...
We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming ...
We give new algorithms for learning halfspaces in the challenging malicious noise model, where an adversary may corrupt both the labels and the underlying distribution of examples....
Adam R. Klivans, Philip M. Long, Rocco A. Servedio
Constructing rigorous models for analysing the behaviour of concurrent and distributed systems is a complex task. Our aim is to facilitate model construction. Scenarios provide si...
Jeff Kramer, Jeff Magee, Robert Chatley, Sebasti&a...