The CONTROL project at U.C. Berkeley has developed technologies to provide online behavior for data-intensive applications. Using new query processing algorithms, these technologi...
Ron Avnur, Joseph M. Hellerstein, Bruce Lo, Chris ...
In this paper, we propose a new application of Bayesian language model based on Pitman-Yor process for information retrieval. This model is a generalization of the Dirichlet distr...
This paper compares different confidence measures for the results of statistical face recognition systems. The main applications of a confidence measure are rejection of unknown p...
An efficient framework is proposed for the fast recovery of Bayesian network classifier. A novel algorithm, called Iterative Parent-Child learningBayesian Network Classifier (IPC-...
Abstract. Nonparametric predictive inference (NPI) is a powerful frequentist statistical framework based only on an exchangeability assumption for future and past observations, mad...
Frank P. A. Coolen, Pauline Coolen-Schrijner, Taha...