Results 251 to 260 of about 1,757,856 (287)

Mechanics-informed risk-aware learning for multiaxial structural reliability with Bayesian calibration. [PDF]

Commun Eng
Zhang G, Yu X, Song A, Liu H, Lin X, Zhang X, Wang Q, Wang W, Zhang P.   +8 more
europepmc   +1 more source

Probabilistic Forecasting and Information-Theoretic Analysis of Multivariate fMRI Dynamics. [PDF]

Entropy (Basel)
Bayer A, Zhang Z, Ipek AE, Khavari R, Aazhang B.   +4 more
europepmc   +1 more source

A survey of machine learning for estimating workload: considering unknown tasks. [PDF]

Front Robot AI
Bhagat Smith J, Adams JA.
europepmc   +1 more source

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On probabilistic ψ-contractions in Menger probabilistic metric spaces

Fuzzy Sets and Systems, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dingwei Zheng, Pei Wang
exaly   +4 more sources

On φ-contractions in probabilistic and fuzzy metric spaces

Fuzzy Sets and Systems, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jin-Xuan Fang
exaly   +4 more sources

Probabilistic tracking in a metric space

Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2002
A new exemplar-based, probabilistic paradigm for visual tracking is presented. Probabilistic mechanisms are attractive because they handle fusion of information, especially temporal fusion, in a principled manner. Exemplars are selected representatives of raw training data, used here to represent probabilistic mixture distributions of object ...
Kentaro Toyama, Andrew Blake 0001
openaire   +1 more source

Probabilistic Tracking with Exemplars in a Metric Space

International Journal of Computer Vision, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kentaro Toyama, Andrew Blake 0001
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Hausdorff distance and the completion of probabilistic metric spaces

, 1992
The author presents a new method for constructing a completion of a probabilistic metric space (PM-space). The construction uses the probabilistic Hausdorff topology in a natural way to identify a completion of any PM-space with a continuous triangle function.
SEMPI, Carlo
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Probabilistic metric spaces

2001
In 1942 K. Menger introduced the notion of a statistical metric space as a natural generalization of the notion of a metric space (M, d) in which the distance d(p, q) (p, q ∈ M) between p and q is replaced by a distribution function F p, q ∈ Δ+. F p,q (x) can be interpreted as the probability that the distance between p and q is less than x.
Olga Hadžić, Endre Pap
openaire   +1 more source

Fixed-point theorems for a probabilistic 2-metric spaces [PDF]

Journal of King Saud University - Science, 2010
In this paper the notion of contraction mappings on probabilistic metric spaces and probabilistic 2-metric spaces are applied. Several fixed point theorems for such mappings are proved. One of them Theorem 1.1 is a stronger form of a result due to Sehgal
Abu-Donia, H.M., Bakry, Mona. S.
exaly   +2 more sources