This paper describes an evolutionary clustering algorithm, which can partition a given dataset automatically into the optimal number of groups through one shot of optimization. The...
In this paper we present a technique to optimize queries on deductive databases that use aggregate operations such as min, max, and “largest Ic values.” Our approach is based ...
Abstract— In this work, we demonstrate the power of providing a common set of operating system services to Grid Architectures, including high-performance I/O, communication, reso...
Abstract. The performance of financial forecasting with neural networks dependents on the particular training set. We design mean-change-point test to divide the original dataset i...
We present a method for constructing ensembles from libraries of thousands of models. Model libraries are generated using different learning algorithms and parameter settings. For...
Rich Caruana, Alexandru Niculescu-Mizil, Geoff Cre...