A method for designing fast multidimensional filters using genetic algorithms is described. The filter is decomposed into component filters where coefficients can be sparsely sc...
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
In TREC 2007, we participate in four tasks of the Blog and Enterprise tracks. We continue experiments using Terrier1 [14], our modular and scalable Information Retrieval (IR) plat...
David Hannah, Craig Macdonald, Jie Peng, Ben He, I...
A technique is proposed for smoothing a broken line fit, with known break points, to observational data. It will be referred to as "broken line smoothing". The smoothness...
—What is reachability in higher-order functional programs? We formulate reachability as a decision problem in the setting of the prototypical functional language PCF, and show th...