We describe a scalable and general-purpose framework for auto-tuning compiler-generated code. We combine Active Harmony’s parallel search backend with the CHiLL compiler transfo...
Ananta Tiwari, Chun Chen, Jacqueline Chame, Mary W...
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
The problem of identifying mislabeled training examples has been examined in several studies, with a variety of approaches developed for editing the training data to obtain better...
Continuously running systems require kernel software updates applied to them without downtime. Facilitating fast reboots, or delaying an update may not be a suitable solution in m...
This paper presents a novel method for sound event classification based on probabilistic distance SVM. The basic idea is to embed probabilistic distances into classical SVM to cl...