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Parsimonious Diagnosis in SNePS
1995Kernel Diagnosis has been developed to overcome some problems found in Diagnosis from First Principles. Although the results obtained when using the Kernel Diagnosis method are not incorrect, this method is not parsimonious in the sense that every diagnosis must be computed in order to find the Kernel Diagnoses.
Pedro A. de Matos, João P. Martins
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Parsimonious dictionary learning
2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009Sparse modeling of signals has recently received a lot of attention. Often, a linear under-determined generative model for the signals of interest is proposed and a sparsity constraint imposed on the representation. When the generative model is not given, choosing an appropriate generative model is important, so that the given class of signals has ...
Mehrdad Yaghoobi +2 more
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Semiochemical Parsimony in the Arthropoda
Annual Review of Entomology, 1996A wide variety of arthropods have adapted their own semiochemicals to subserve multiple functions in diverse contexts. Semiochemicals, the pheromones and allomones, have been detected in arthropod species in six orders, and it has been clearly established that these compounds are used with great parsimony.
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PARSIMONY AND CHARACTER WEIGHTING
Cladistics, 1986Abstract— The likelihood justification of parsimony proposed in Sober (1983, 1984a) is applied to some problems posed by character weighting. An argument is provided for thinking that the point frequency of a character is not a good descriptor for parsimonious reconstructions of phylogeny.
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PARSIMONIOUS DYNAMICAL RECONSTRUCTION
International Journal of Bifurcation and Chaos, 1993Many nonlinear deterministic models of time series have large numbers of parameters and tend to overfit in the presence of noise. This paper shows how to generate radial basis function models with small numbers of parameters for a given quality of fit. It also addresses questions of how to select subsets from candidate sets of centers for radial basis
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A LIKELIHOOD JUSTIFICATION OF PARSIMONY
Cladistics, 1985Abstract—A connection is established between maximally parsimonious cladograms and trees of highest likelihood. The assumptions needed to prove this are derivable from the structure of evolutionary theory and are independent of the frequency of homoplasy.
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