Search results for " Statistics"
showing 10 items of 1891 documents
Optimal “anti-Bayesian” parametric pattern classification for the exponential family using Order Statistics criteria
2012
Published version of a chapter in the book: Image Analysis and Recognition. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-31295-3_2 This paper reports some pioneering results in which optimal parametric classification is achieved in a counter-intuitive manner, quite opposed to the Bayesian paradigm. The paper, which builds on the results of [1], demonstrates (with both theoretical and experimental results) how this can be done for some distributions within the exponential family. To be more specific, within a Bayesian paradigm, if we are allowed to compare the testing sample with only a single point in the feature space from each class, the optimal Bayesian strat…
Consistency of Probability Decision Rules and Its Inference in Probability Decision Table
2012
In most synthesis evaluation systems and decision-making systems, data are represented by objects and attributes of objects with a degree of belief. Formally, these data can be abstracted by the form (objects; attributes; P), wherePrepresents a kind degree of belief between objects and attributes, such that,Pis a basic probability assignment. In the paper, we provide a kind of probability information system to describe these data and then employ rough sets theory to extract probability decision rules. By extension of Dempster-Shafer evidence theory, we can get probabilities of antecedents and conclusion of probability decision rules. Furthermore, we analyze the consistency of probability de…
Josephson Traveling Wave Parametric Amplifiers as Non-Classical Light Source for Microwave Quantum Illumination
2021
Abstract Detection of low-reflectivity objects can be enriched via the so-called quantum illumination procedure. In order that this quantum procedure outperforms classical detection protocols, entangled states of microwave radiation are initially required. In this paper, we discuss the role of Josephson Traveling Wave Parametric Amplifiers (JTWPAs), based on circuit-QED components, as suitable sources of a two-mode squeezed vacuum state, a special signal-idler entangled state. The obtained wide bandwidth makes the JTWPA an ideal candidate for generating quantum radiation in quantum metrology and information processing applications.
Validation procedures in radiological diagnostic models. Neural network and logistic regression
1999
The objective of this paper is to compare the performance of two predictive radiological models, logistic regression (LR) and neural network (NN), with five different resampling methods. One hundred and sixty-seven patients with proven calvarial lesions as the only known disease were enrolled. Clinical and CT data were used for LR and NN models. Both models were developed with cross validation, leave-one-out and three different bootstrap algorithms. The final results of each model were compared with error rate and the area under receiver operating characteristic curves (Az). The neural network obtained statistically higher Az than LR with cross validation. The remaining resampling validatio…
Ciešamās kārtas lietojums zinātnisko rakstu un bakalaura darbu anotācijās
2019
Pētījuma tēma ir ciešamās kārtas lietojums anotācijās. Ciešamā kārta dzimtās un svešvalodas akadēmiskajos rakstos ir pētīta pirms (Hinkele, 2004); taču to lietojums anotācijās netiek pētīts. Šis pētījums attiecas uz ciešamās kārtas analīzi angļu kā svešvalodas studentu bakalaura darbu anotācijās un pētnieku zinātnisko rakstu anotācijās. Teorētiskais pamatojums ir balstīts uz Kvirka (Quirk et al., 1985), Baibera (Biber et al.,1999), Hadlestona un Pulluma (Huddleston un Pullum 2005), Kollinas un Hollo (Collins un Hollo 2010) un citu autoru darbiem. Pētījums ietver aprakstošās un secinošās statistikas rīkus un specializētā korpusa piemēru kvalitatīvās analīzes aspektus. Rezultātu aprakstā ir a…
Agritourism and local development: A methodology for assessing the role of public contributions in the creation of competitive advantage
2018
Abstract Agriculture has been an economic mainstay of countries throughout history. Recently, its importance and essential role in local and regional growth and development have also received due acknowledgment. However, agritourism entrepreneurs often lack the necessary means, when relying only on their own funds alone. For these reasons, targeted aid measures are provided at the regional, national and European levels, provided they fulfill specified subjective and objective eligibility criteria. This investigation aims at understanding the rationale, if any, according to which the Public Administration allots such contributions. To this end, a two-tiered analysis was conducted on the data…
Entrepreneurial success and human resources
2011
PurposeThis paper aims to determine factors that have an influence on human resource management and entrepreneurial success in the context of European innovative small and medium‐sized enterprises (SMEs).Design/methodology/approachA primary test questionnaire was tested with 50 Spanish entrepreneurs. The feedback from this study was used to improve the survey for a final test. Multivariate regression analysis was used to differentiate the factors that allow the explanation of the variables to be studied and factors that, a priori, seem to be the most relevant in explaining entrepreneurial success.FindingsThe study allows the determination of what factors make the European entrepreneur succe…
The Potsdam Open Source Radio Interferometry Tool (PORT)
2021
The Potsdam Open Source Radio Interferometry Tool (PORT) is the very long baseline interferometry (VLBI) analysis software developed and maintained at the GFZ German Research Centre for Geosciences. Chiefly, PORT is tasked with the timely processing of VLBI sessions and post-processing activities supporting the generation of celestial and terrestrial reference frames. In addition, it serves as a framework for research and development within the GFZ's VLBI working group and is part of the tool set employed in educating young researchers. Starting out from VLBI group delays, PORT estimates station and radio sources positions, as well as Earth orientation parameters, tropospheric parameters, a…
ELM Regularized Method for Classification Problems
2016
Extreme Learning Machine (ELM) is a recently proposed algorithm, efficient and fast for learning the parameters of single layer neural structures. One of the main problems of this algorithm is to choose the optimal architecture for a given problem solution. To solve this limitation several solutions have been proposed in the literature, including the regularization of the structure. However, to the best of our knowledge, there are no works where such adjustment is applied to classification problems in the presence of a non-linearity in the output; all published works tackle modelling or regression problems. Our proposal has been applied to a series of standard databases for the evaluation o…
Verification of Web traffic burstiness and self-similarity for multiple online stores
2017
Developing realistic Web traffic models is essential for a reliable Web server performance evaluation. Very significant Web traffic properties that have been identified so far include burstiness and self-similarity. Very few relevant studies have been devoted to e-commerce traffic, however. In this paper, we investigate burstiness and self-similarity factors for seven different online stores using their access log data. Our findings show that both features are present in all the analyzed e-commerce datasets. Furthermore, a strong correlation of the Hurst parameter with the average request arrival rate was discovered (0.94). Estimates of the Hurst parameter for the Web traffic in the online …