Results 41 to 50 of about 380,355 (349)
Probabilistic Modeling Paradigms for Audio Source Separation [PDF]
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
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Good-for-MDPs Automata for Probabilistic Analysis and Reinforcement Learning [PDF]
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]
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
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Tikimybinis dažnų posekių paieškos algoritmas
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
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
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Weakly- and Semisupervised Probabilistic Segmentation and Quantification of Reverberation Artifacts
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
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Bayesian Modeling for Differential Cryptanalysis of Block Ciphers: A DES Instance
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
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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
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
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Probabilistic Machine Learning Methods for Fractional Brownian Motion Time Series Forecasting
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
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