The 1R procedure for machine learning is a very simple one that proves surprisingly effective on the standard datasets commonly used for evaluation. This paper describes the metho...
Craig G. Nevill-Manning, Geoffrey Holmes, Ian H. W...
Abstract. Having good estimates or even bounds for the error in computing approximations to expressions of the form f(A)v is very important in practical applications. In this paper...
—Modern micro-architecture simulators are many orders of magnitude slower than the hardware they simulate. The use of multiprocessor architectures for supporting future mobile an...
If the mental objects of philosophy, art, and science ... have a place it will be in the deepest synaptic fissures, in the hiatuses, intervals, and mean-times of the non-objectifi...
Calvin and Nakayama previously introduced permuting as a way of improving existing standardized time series methods. The basic idea is to split a simulated sample path into nonove...