We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
This paper presents an implementation methodology appropriate for providing a broad range of proven, classical Operations Research methods and techniques to the simulation modeler...
Troubleshooting problems in real manufacturing environments impose constraints on admissible solutions that make the computational solutions offered by "troubleshooting from ...
D. Volovik, Imran A. Zualkernan, Paul E. Johnson, ...
Smale's -theory uses estimates related to the convergence of Newton's method to give criteria implying that Newton iterations will converge quadratically to solutions to ...
New Robotics designates an approach to robotics that, in contrast to traditional robotics, employs ideas and principles from biology. While in the traditional approach there are g...