Abstract We address the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. We follow a two-step methodology: first we iden...
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
Igor Lorenzato Almeida, Denise Regina Pechmann Sim...
Systems software for clusters typically derives from a multiplicity of sources: the kernel itself, software associated with a particular distribution, site-specific purchased or o...
Ewing L. Lusk, Narayan Desai, Rick Bradshaw, Andre...
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
— This paper presents a new intelligent agent supervisory loop based approach for dynamic system control. The scheme consists of three software agents that work in an autonomous ...