Results 41 to 50 of about 380,355 (349)

Probabilistic Modeling Paradigms for Audio Source Separation [PDF]

open access: yes, 2010
This is the author's final version of the article, first published as E. Vincent, M. G. Jafari, S. A. Abdallah, M. D. Plumbley, M. E. Davies. Probabilistic Modeling Paradigms for Audio Source Separation. In W.
A. P.Dempster   +10 more
core   +5 more sources

Good-for-MDPs Automata for Probabilistic Analysis and Reinforcement Learning [PDF]

open access: yesInternational Conference on Tools and Algorithms for Construction and Analysis of Systems, 2019
We characterize the class of nondeterministic \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin ...
E. M. Hahn   +5 more
semanticscholar   +1 more source

Local Retrodiction Models for Photon-Noise-Limited Images [PDF]

open access: yes, 2016
Imaging technologies working at very low light levels acquire data by attempting to count the number of photons impinging on each pixel. Especially in cases with, on average, less than one photocount per pixel the resulting images are heavily corrupted ...
Barnett, Stephen M.   +2 more
core   +1 more source

Tikimybinis dažnų posekių paieškos algoritmas

open access: yesInformacijos Mokslai, 2009
Dažnų posekių paieška didelėse duomenų bazėse yra svarbi biologinių, klimato, fi nansinių ir daugelio kitų duomenų bazių analizei. Tikslieji algoritmai, skirti dažnų posekių paieškai, daug kartų perrenka visą duomenų bazę.
Julija Pragarauskaitė   +1 more
doaj   +1 more source

An Algorithm to Compute the Character Access Count Distribution for Pattern Matching Algorithms

open access: yesAlgorithms, 2011
We propose a framework for the exact probabilistic analysis of window-based pattern matching algorithms, such as Boyer–Moore, Horspool, Backward DAWG Matching, Backward Oracle Matching, and more.
Sven Rahmann, Tobias Marschall
doaj   +1 more source

Weakly- and Semisupervised Probabilistic Segmentation and Quantification of Reverberation Artifacts

open access: yesBME Frontiers, 2022
Objective and Impact Statement. We propose a weakly- and semisupervised, probabilistic needle-and-reverberation-artifact segmentation algorithm to separate the desired tissue-based pixel values from the superimposed artifacts.
Alex Ling Yu Hung   +2 more
doaj   +1 more source

Bayesian Modeling for Differential Cryptanalysis of Block Ciphers: A DES Instance

open access: yesIEEE Access, 2023
Encryption algorithms based on block ciphers are among the most widely adopted solutions for providing information security. Over the years, a variety of methods have been proposed to evaluate the robustness of these algorithms to different types of ...
Vincenzo Agate   +5 more
doaj   +1 more source

Algorithms for probabilistic uncertain linguistic multiple attribute group decision making based on the GRA and CRITIC method: application to location planning of electric vehicle charging stations

open access: yesEconomic Research-Ekonomska Istraživanja, 2020
Electric vehicles (EVs) could be regarded as one of the most innovative and high technologies all over the world to cope with the fossil fuel energy resource crisis and environmental pollution issues.
G. Wei   +6 more
semanticscholar   +1 more source

ON PREDICTION AND DECISION MAKING UNDER UNCERTAINTIES FOR MEDICAL SYSTEMS RESEARCH PROBLEMS

open access: yesMedična Informatika ta Inženerìâ, 2017
The work presents our results in field of application of system analysis methods to problem of medical research. We emphasize effects of uncertainty that should be taken into account in such complex processes. Medical system research requires information
V. P. Martsenyuk, I Ye. Andrushchak
doaj   +1 more source

Probabilistic Machine Learning Methods for Fractional Brownian Motion Time Series Forecasting

open access: yesFractal and Fractional, 2023
This paper explores the capabilities of machine learning for the probabilistic forecasting of fractional Brownian motion (fBm). The focus is on predicting the probability of the value of an fBm time series exceeding a certain threshold after a specific ...
Lyudmyla Kirichenko, Roman Lavrynenko
doaj   +1 more source

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