DSpace Collection:http://hdl.handle.net/10908/3402024-03-29T13:10:39Z2024-03-29T13:10:39ZMultilinear H older-type inequalities on Lorentz sequence spaceshttp://hdl.handle.net/10908/5542022-10-24T22:57:35Z2008-07-01T00:00:00ZTitle: Multilinear H older-type inequalities on Lorentz sequence spaces
Abstract: We establish Hölder type inequalities for Lorentz sequence spaces and their duals. In order to achieve these and some related inequalities, we study diagonal multilinear forms in general sequence spaces, and obtain estimates for their norms. We also consider norms of multilinear forms in different Banach multilinear ideals.
Description: Fil: Carando, Daniel. Universidad de San Andrés. Departamento de Matemática y Ciencias; Argentina.; Fil: Dimant, Verónica. Universidad de San Andrés. Departamento de Matemática y Ciencias; Argentina.; Fil: Sevilla-Peris, Pablo. Universidad de San Andrés. Departamento de Matemática y Ciencias; Argentina.2008-07-01T00:00:00ZPattern recognition via projection – based k – NN ruleshttp://hdl.handle.net/10908/5532022-10-24T22:58:06Z2008-06-01T00:00:00ZTitle: Pattern recognition via projection – based k – NN rules
Abstract: We introduce a new procedure for pattern recognition, based on the concepts of random projections and nearest neighbors. It can be thought as an improvement of the classical nearest neighbors classification rules. Besides the concept of neighbors we introduce the notion of district, a larger set which will be projected. Then we apply one dimensional k-NN methods to the projected data on randomly selected directions. In this way we are able to provide a method with some robustness properties and more accurate to handle high dimensional data. The procedure is also universally consistent. We challenge the method with the Isolet data where we obtain a very high classification score.
Description: Fil: Fraiman, Ricardo. Universidad de San Andrés. Departamento de Matemática y Ciencias; Argentina.; Fil: Justel, Ana. Universidad de San Andrés. Departamento de Matemática y Ciencias; Argentina.; Fil: Svarc, Marcela. Universidad de San Andrés. Departamento de Matemática y Ciencias; Argentina.2008-06-01T00:00:00ZThe choice of inicial Estimate for Computing MM-Estimateshttp://hdl.handle.net/10908/5522022-10-24T22:58:20Z2008-04-01T00:00:00ZTitle: The choice of inicial Estimate for Computing MM-Estimates
Abstract: We show, using a Monte Carlo study, that MM-estimates with projec- tion estimates as starting point of an iterative weighted least squares algorithm, behave more robustly than MM-estimates starting at an S-estimate and similar Gaussian efficiency. Moreover the former have a robustness behavior close to the P-estimates with an additional advantage: they are asymptotically normal making statistical inference possible.
Description: Fil: Svarc, Marcela. Universidad de San Andrés. Departamento de Matemática y Ciencias; Argentina.2008-04-01T00:00:00ZGrowing Directed Networks: Limit in-degree distribution for arbitrary out-degree onehttp://hdl.handle.net/10908/5132022-10-24T22:58:38Z2007-07-01T00:00:00ZTitle: Growing Directed Networks: Limit in-degree distribution for arbitrary out-degree one
Description: Fil: Fraiman, Daniel. Universidad de San Andrés. Departamento de Matemática y Ciencias; Argentina.2007-07-01T00:00:00Z