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MCS
2010
Springer
13 years 11 months ago
MinT - Architecture and applications of the (t, m, s)-net and OOA database
Many different constructions for (t, m, s)-nets and (t, s)-sequences are known today. Propagation rules as well as connections to other mathematical objects make it difficult to ...
Rudolf Schürer, Wolfgang Ch. Schmid
MCS
2010
Springer
13 years 11 months ago
Connecting the 3D DGS Calques3D with the CAS Maple
Eugenio Roanes-Lozano, Nicolas van Labeke, Eugenio...
MCS
2010
Springer
13 years 11 months ago
Application of Biased Metropolis Algorithms: From protons to proteins
We show that sampling with a biased Metropolis scheme is essentially equivalent to using the heatbath algorithm. However, the biased Metropolis method can also be applied when an ...
Alexei Bazavov, Bernd A. Berg, Huan-Xiang Zhou
MCS
2010
Springer
13 years 11 months ago
Resolution-stationary random number generators
Besides speed and period length, the quality of uniform random number generators is usually assessed by measuring the uniformity of their point sets, formed by taking vectors of s...
François Panneton, Pierre L'Ecuyer
MCS
2010
Springer
13 years 11 months ago
2D vertex modeling for the simulation of grain growth and related phenomena
A vertex model for the simulation of grain growth and grain boundary migration is developed and its implementation is explained in detail. The utilization of the model is also exe...
L. A. Barrales Mora
MCS
2010
Springer
13 years 11 months ago
A numerical algorithm for avascular tumor growth model
Mohammed Shuker Mahmood, Silvia Mahmood, Dusan Dob...
MCS
2010
Springer
13 years 11 months ago
A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities
Abstract. The Support Kernel Machine (SKM) and the Relevance Kernel Machine (RKM) are two principles for selectively combining objectrepresentation modalities of different kinds b...
Alexander Tatarchuk, Eugene Urlov, Vadim Mottl, Da...
MCS
2010
Springer
14 years 2 months ago
Choosing Parameters for Random Subspace Ensembles for fMRI Classification
Abstract. Functional magnetic resonance imaging (fMRI) is a noninvasive and powerful method for analysis of the operational mechanisms of the brain. fMRI classification poses a sev...
Ludmila I. Kuncheva, Catrin O. Plumpton
MCS
2010
Springer
14 years 2 months ago
Dynamic Selection of Ensembles of Classifiers Using Contextual Information
In a multiple classifier system, dynamic selection (DS) has been used successfully to choose only the best subset of classifiers to recognize the test samples. Dos Santos et al...
Paulo Rodrigo Cavalin, Robert Sabourin, Ching Y. S...