The performance of a dynamic optimization system depends heavily on the code it selects to optimize. Many current systems follow the design of HP Dynamo and select a single interp...
This paper proposes a framework for distributed sequential parameter estimation in wireless sensor networks. In the proposed scheme, the estimator is updated sequentially at the c...
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Abstract. Sparse matrix-vector multiplication is an important computational kernel that tends to perform poorly on modern processors, largely because of its high ratio of memory op...
This paper describes an application of a Constructive Genetic Algorithm (CGA) to the Gate Matrix Layout Problem (GMLP). The GMLP happens in very large scale integration (VLSI) desi...