Results 271 to 280 of about 3,898,923 (290)
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Journal of the Operational Research Society, 1984
The classical p-median problem is discussed, together with methods for its solution. The multi-median problem, a generalization of the p-median problem in which more than one type of facility is allowed, is introduced and methods of solution developed. Numerical results are presented.
Boffey, T. B., Karkazis, J.
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The classical p-median problem is discussed, together with methods for its solution. The multi-median problem, a generalization of the p-median problem in which more than one type of facility is allowed, is introduced and methods of solution developed. Numerical results are presented.
Boffey, T. B., Karkazis, J.
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Median power and median correlation theory
IEEE Transactions on Signal Processing, 2002We show that the maximum likelihood (ML) estimate of location under the Laplacian model, which forms the basis for weighted median filters, can be generalized to correlation estimates based on weighted medians. Much like linear sample correlations, the resultant median correlation estimates have a surprisingly simple structure.
Gonzalo R. Arce, Yinbo Li
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The Mathematics Teacher, 2010
Students use movie sales data to estimate and draw lines of best fit, bridging technology and mathematical understanding.
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Students use movie sales data to estimate and draw lines of best fit, bridging technology and mathematical understanding.
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Advances in Computational Mathematics, 1999
Given \(n+1\) disjoint bounded intervals \(I_0, \ldots ,I_n\) and \(n+1\) real numbers \(\alpha_0,\ldots ,\alpha_n\), a polynomial is to be determined such that its median in the interval \(I_j\) equals \(\alpha_j\) \((j=0,\ldots ,n)\). Although there is a connection with \(L_1\)-approximation, this is a nonlinear ``interpolation problem''. Topological
Tim N. T. Goodman, Thomas P. Y. Yu
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Given \(n+1\) disjoint bounded intervals \(I_0, \ldots ,I_n\) and \(n+1\) real numbers \(\alpha_0,\ldots ,\alpha_n\), a polynomial is to be determined such that its median in the interval \(I_j\) equals \(\alpha_j\) \((j=0,\ldots ,n)\). Although there is a connection with \(L_1\)-approximation, this is a nonlinear ``interpolation problem''. Topological
Tim N. T. Goodman, Thomas P. Y. Yu
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Multimedia Manual of Cardio-Thoracic Surgery, 2015
Sternotomy is considered to be the gold standard incision in cardiac surgery, resulting in low failure rates and excellent proven long-term outcomes. It can also be used in thoracic surgery for mediastinal, bilateral pulmonary or lower trachea and main stem bronchus surgery.
Reser D +4 more
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Sternotomy is considered to be the gold standard incision in cardiac surgery, resulting in low failure rates and excellent proven long-term outcomes. It can also be used in thoracic surgery for mediastinal, bilateral pulmonary or lower trachea and main stem bronchus surgery.
Reser D +4 more
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Pattern Recognition Letters, 1985
The concept of 'median string' over a set of strings is introduced in this paper. The set median is defined to be that element in the set of strings which has the smallest sum of distances (with respect to an arbitrary measure) from the other elements, and the (generalized) median is a hypothetical, artificially constructed element which has the ...
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The concept of 'median string' over a set of strings is introduced in this paper. The set median is defined to be that element in the set of strings which has the smallest sum of distances (with respect to an arbitrary measure) from the other elements, and the (generalized) median is a hypothetical, artificially constructed element which has the ...
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2013
The classification task uses observations and prior knowledge to select a hypothesis that will predict class assignments well. In this work we ask the question: what is the best hypothesis to select from a given hypothesis class? To address this question we adopt a PAC-Bayesian approach. According to this viewpoint, the observations and prior knowledge
Ran Gilad-Bachrach +1 more
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The classification task uses observations and prior knowledge to select a hypothesis that will predict class assignments well. In this work we ask the question: what is the best hypothesis to select from a given hypothesis class? To address this question we adopt a PAC-Bayesian approach. According to this viewpoint, the observations and prior knowledge
Ran Gilad-Bachrach +1 more
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Fuzzy Sets and Systems, 2001
Distance aggregation operators are introduced. In the case of singleton-based distance, a well-known class of \(K\)-medians is recovered. For interval-based distance, a characterization of \((p,r)\)-distance aggregation operators is given, in the general case as well as for idempotent operators.
Tomasa Calvo, Radko Mesiar
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Distance aggregation operators are introduced. In the case of singleton-based distance, a well-known class of \(K\)-medians is recovered. For interval-based distance, a characterization of \((p,r)\)-distance aggregation operators is given, in the general case as well as for idempotent operators.
Tomasa Calvo, Radko Mesiar
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On root structures of median and median-type filters
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987In this correspondence, we analyze the root structures of the standard median (SM) filters, the recursive median (RM) filters, and the FIR median hybrid (FMH) filters. It is shown that these filters have many oscillatory infinitely long root signals.
Jaakko Astola +2 more
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Computational Statistics & Data Analysis, 2006
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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