Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
Abstract. FAST-EVP is a simulation tool for internal combustion engines running on cluster platforms; it has evolved from the KIVA-3V code base, but has been extensively rewritten ...
Gino Bella, Alfredo Buttari, Alessandro De Maio, F...
High-dimensional problems arising from robot motion planning, biology, data mining, and geographic information systems often require the computation of k nearest neighbor (knn) gr...
We present an architectural framework, Garnet, which a data stream centric abstraction to encourage the manipulation and exploitation of data generated in sensor networks. By prov...
This paper presents an automated, online approach to anomaly detection in high-content screening assays for pharmaceutical research. Online detection of anomalies is attractive be...
Adam Goode, Rahul Sukthankar, Lily B. Mummert, Mei...