We propose a distributed parallel support vector machine (DPSVM) training mechanism in a configurable network environment for distributed data mining. The basic idea is to exchange...
Cloud computing carries the promise of providing powerful ls and abstractions that could transform the way IT services are delivered today. In order to establish the readiness of ...
Model checking (MC) is a formal verification technique which has known and still knows a resounding success in the computer science community. Realizing that the distributed power...
Thomas Brihaye, Marc Jungers, Samson Lasaulce, Nic...
Data-intensive applications are increasingly designed to execute on large computing clusters. Grouped aggregation is a core primitive of many distributed programming models, and i...
In this paper, we propose a novel multi-dimensional distributed hidden Markov model (DHMM) framework. We first extend the theory of 2D hidden Markov models (HMMs) to arbitrary ca...