We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class...
— Given an arbitrary network of interconnected nodes, each with an initial value from a discrete set, we consider the problem of distributively disseminating these initial values...
Abstract-- Many model order reduction methods for parameterized systems need to construct a projection matrix V which requires computing several moment matrices of the parameterize...
The paper described a novel method for detecting and identifying faults that occur in the actuator of control systems with input and output signals related to the component itself....
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...