The classification of encrypted traffic on the fly from network traces represents a particularly challenging application domain. Recent advances in machine learning provide the opp...
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
d Abstract) Bruno Blanchet∗ § Patrick Cousot§ Radhia Cousot∗¶ J´erˆome Feret§ Laurent Mauborgne§ Antoine Min´e§ David Monniaux∗§ Xavier Rival§ that abstract inter...
Bruno Blanchet, Patrick Cousot, Radhia Cousot, J&e...
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
Our goal is to automatically identify which species of bird is present in an audio recording using supervised learning. Devising effective algorithms for bird species classificati...