نتایج جستجو برای: probabilistic norm

تعداد نتایج: 111875  

2006
JIAN-ZHONG XIAO XING-HUA ZHU

Some new concepts of generating spaces of quasi-norm family are introduced and their linear topological structures are studied. These spaces are not necessarily locally convex. By virtue of some properties in these spaces, several Schauder-type fixed point theorems are proved, which include the corresponding theorems in locally convex spaces as their special cases. As applications, some new fix...

2004
Yuanqing Lin Daniel D. Lee

Bayesian Regularization and Nonnegative Deconvolution (BRAND) is proposed for estimating time delays of acoustic signals in reverberant environments. Sparsity of the nonnegative filter coefficients is enforced using an L1-norm regularization. A probabilistic generative model is used to simultaneously estimate the regularization parameters and filter coefficients from the signal data. Iterative ...

Journal: :J. Complexity 2003
Gensun Fang Peixin Ye

E-mail: [email protected] Abstract: We determine the exact order of the p-average linear n-widths λ n (W r 2 , μ, Lq)p, 1 ≤ q < ∞, 0 < p <∞, of the Sobolev space W r 2 equipped with a Gaussian measure μ in the Lq-norm. Moreover, we also calculate the probabilistic linear (n, δ)-widths and p-average linear n-widths of the finitedimensional space R with the standard Gaussian measure in l q , i.e.,

2002
L. R. Hope A. E. Nicholson K. B. Korb

Unwieldy probability entry interfaces are the norm for Bayesian Network knowledge engineers. This requires domain experts to provide unreasonably accurate probability estimates. To solve these problems, we have developed two applications: CPTable improves direct probability entry, and provides node customisation and sliding scale binary elicitation; Verbal Elicitor allows entry of probability v...

Journal: :international journal of nonlinear analysis and applications 2010
m. b. ghaemi l. guillen s. saiedinezhad

the notion of a probabilistic metric  space  corresponds to thesituations when we do not know exactly the  distance.  probabilistic metric space was  introduced by karl menger. alsina, schweizer and sklar gave a general definition of  probabilistic normed space based on the definition of menger [1]. in this note we study the pn spaces which are  topological vector spaces and the open mapping an...

2003
OSMO KALEVA

Sherwood [Z] showed that every Menger space with continuous t-norm has a completion which is unique up to isometry. Since fuzzy metric spaces resemble in some respects probabilistic metric spaces it is to be expected that at least some fuzzy metric spaces have a completion. The purpose of this paper is to prove that. We need the following definitions. For the definition and properties of a fuzz...

2005
Wenguo Liu Jie Chen

A mixed deterministic/probabilistic model validation problem is investigated in this paper, which consists in an additive uncertain model with uncertainty characterized by the H∞ norm, and time-domain experimental data corrupted by a Gaussian noise sequence. Our aim is to compute the probability for such an uncertain model to be invalidated by the data, and our main results are bounds on this p...

2014
Esben M Olsen Dimitar Serbezov Leif A Vøllestad

Reaction norms are a valuable tool in evolutionary biology. Lately, the probabilistic maturation reaction norm approach, describing probabilities of maturing at combinations of age and body size, has been much applied for testing whether phenotypic changes in exploited populations of fish are mainly plastic or involving an evolutionary component. However, due to typical field data limitations, ...

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