Results 21 to 30 of about 1,687,803 (280)
High throughput nonparametric probability density estimation. [PDF]
PLoS ONE, 2018 In high throughput applications, such as those found in bioinformatics and finance, it is important to determine accurate probability distribution functions despite only minimal information about data characteristics, and without using human subjectivity.
Jenny Farmer, Donald Jacobs
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Beating noise with abstention in state estimation [PDF]
, 2012 We address the problem of estimating pure qubit states with non-ideal (noisy) measurements in the multiple-copy scenario, where the data consists of a number N of identically prepared qubits.
Bagan E Munoz-Tapia R Olivares-Renteria G A Bergou J A +11 more
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Asymptotic Estimates Using Probability
Advances in Mathematics, 1998 The authors use probabilistic arguments in the spirit of the De Moivre-Laplace central limit theorem to obtain asymptotic estimates for combinatorial sums. The main question under discussion is the following. For a given sequence \(\chi_n=\sum_{\lambda\vdash n}f(\lambda)\chi_{\lambda}\) of \(S_n\)-characters defined in terms of the associated Young ...
Beckner, William, Regev, Amitai
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Revisiting the Optimal Probability Estimator from Small Samples for Data Mining
International Journal of Applied Mathematics and Computer Science, 2019 Estimation of probabilities from empirical data samples has drawn close attention in the scientific community and has been identified as a crucial phase in many machine learning and knowledge discovery research projects and applications.
Cestnik Bojan
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Estimating tail probabilities [PDF]
, 1982 This paper investigates procedures for univariate nonparametric estimation of tail probabilities. Extrapolated values for tail probabilities beyond the data are also obtained based on the shape of the density in the tail. Several estimators which use exponential weighting are described.
Carr, D. B., Tolley, H. D.
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A Method for Assessing a Causation Factor for a Geometrical MDTC Model for Ship-Ship Collision Probability Estimation [PDF]
TransNav, 2011 In this paper a comparative method for assessing a causation factor for a geometrical model for ship-ship collision probability estimation is introduced.
Jakub Montewka +3 more
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Maximal uniform convergence rates in parametric estimation problems [PDF]
, 2008 This paper considers parametric estimation problems with independent, identically nonregularly distributed data. It focuses on rate efficiency, in the sense of maximal possible convergence rates of stochastically bounded estimators, as an optimality ...
Akahira +10 more
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Circuit Power Consumption Estimation Method Based on ROBDD [PDF]
Jisuanji gongcheng, 2016 When the power consumption estimated by the probability power estimation method is used as the cost function for power optimization,the limitations of the methods themselves or ignoring the characteristics of the circuit node lead to lower accuracy of ...
LI Qiongying,XIA Yinshui,ZHANG Junli
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Finding Association Rules by Direct Estimation of Likelihood Ratios
, 2017 In this paper, we propose a cost function that corresponds to the mean square errors between estimated values and true values of conditional probability in a discrete distribution. We then obtain the values that minimize the cost function.
Kawakami, Kento +4 more
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Ensembles of probability estimation trees for customer churn prediction [PDF]
, 2010 Customer churn prediction is one of the most, important elements tents of a company's Customer Relationship Management, (CRM) strategy In tins study, two strategies are investigated to increase the lift. performance of ensemble classification models, i.e
A. Lemmens +20 more
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