Post-silicon validation has become an essential step in the design flow of today's complex integrated circuits. One effective technique that provides real-time visibility to ...
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
In this paper we attempt to parallelise a commodity database for OLAP on a cluster of commodity PCs by using a distributed high-performance storage subsystem. By parallelising the...
Atypical observations, which are called outliers, are one of difficulties to apply standard Gaussian density based pattern classification methods. Large number of outliers makes di...