Abstract. We focus on covariance criteria for finding a suitable subspace for regression in a reproducing kernel Hilbert space: kernel principal component analysis, kernel partial...
Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewall...
One machine scheduling problem with fuzzy processing times and a penalty for each job being late (the penalty is independent of the magnitude of the lateness) is considered. The o...
The methods of reconstruction of perception based functions (PBF) given by the set of rules like “If X is SMALL then Y is VERY QUICKLY INCREASING”, “If X is BETWEEN A and B ...
In this paper we present an extension to an existing hash based packet classification technique in order to improve its performance in a distributed network access control environm...
We propose randomized techniques for speeding up Kernel Principal Component Analysis on three levels: sampling and quantization of the Gram matrix in training, randomized rounding...
Dimitris Achlioptas, Frank McSherry, Bernhard Sch&...