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99 results for “Generalization”
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Research ArticleOpen accessIn the abstractConvergence of Renormalization Group Transformations of Gibbs Random FieldFarida Kachapova, Ilias KachapovStatistical mechanics describes interaction between particles of a physical system. Particle properties of the system can be modelled with a random field on a lattice and studied at different distance scales using renormalization group transformation. Here we consider a thermodynamic limit of a lattice model with weak interaction and we use semi-invariants to prove that random fields transformed by renormalization … …Journal of Mathematics and Statistics, Vol. 12, Issue 3 · 27 Jul 2016 · 7,016 accessesView PDFCite
Research ArticleOpen accessIn the abstractCash Flow Management at the Insurance Company Aimed at Provision of Financial StabilityElena Knyazeva, Larisa Yuzvovich, Elena Smorodina et al.The insurance market of the Russian Federation is currently demonstrating the trend of slower growth rate of insurance premiums and problems, rising in certain sectors. The loss ratio of insurance operations is increasing along with reducing profitability of internal funds and assets, operational costs are growing. All these factors affect the financial stability of insurance companies and reduce the profitability … …American Journal of Applied Sciences, Vol. 13, Issue 6 · 24 Jun 2016 · 9,075 accessesView PDFCite
Research ArticleOpen accessIn the abstractTowards Solving the Problem of Virtual Machine Placement in Cloud Computing: A Job Classification ApproachAuday Al-Dulaimy, Ahmed Zekri, Wassim Itani, Rached ZantoutCloud Computing is a paradigm that delivers services by providing an access to wide range of shared resources which are hosted in cloud data centers. One of the recent challenges in this paradigm is to enhance the energy efficiency in these data centers. In this study, a model that identifies common patterns for the jobs submitted to the cloud is … …Journal of Computer Science, Vol. 12, Issue 3 · 8 Apr 2016 · 7,291 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Soft Sensor Modelling of Biomass Concentration during Fermentation using Accurate Incremental Online v-Support Vector Regression Learning AlgorithmBinjie Gu, Feng PanIn order to model real fermentation process, a soft sensor modelling of biomass concentration during fermentation using accurate incremental online ν-Support Vector Regression (ν-SVR) learning algorithm was proposed. Firstly, an accurate incremental online ν-SVR learning algorithm was proposed. This algorithm solved the two complications introduced in the dual problem based on the equivalent formulation of ν-SVR. Moreover, it addressed the … …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 3 · 8 Aug 2015 · 7,328 accessesView PDFCite
Research ArticleOpen accessIn the abstractON SMOOTH SOLUTIONS OF NON LINEAR DYNAMICAL SYSTEMS, fn+1 = u(fn), PART IKyriakos KefalasWe consider the dynamical system, fn+1 = u(fn), (1) (where usually n, is time) defined by a continuous map u. Our target is to find a flow of the system for each initial state f0, i.e., we seek continuous solutions of (1), with the same smoothness degree as u. We start with the introduction of continued forms which are a … …Physics International, Vol. 5, Issue 1 · 7 May 2014 · 8,674 accessesView PDFCite
Research ArticleOpen accessIn the abstractCHARACTERIZATION OF MARKOV-BERNOULLI GEOMETRIC DISTRIBUTION RELATED TO RANDOM SUMSMohamed Gharib, Mahmoud M. Ramadan, Khaled A.H. Al-AjmiThe Markov-Bernoulli geometric distribution is obtained when a generalization, as a Markov process, of the independent Bernoulli sequence of random variables is introduced by considering the success probability changes with respect to the Markov chain. The resulting model is called the Markov- Bernoulli model and it has a wide variety of application fields. In this study, some characterizations are given … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 31 Mar 2014 · 6,711 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybridization of Enhanced Artificial Bee Colony-Least Squares Support Vector Machines for Price ForecastingZuriani Mustaffa, Yuhanis YusofProblem statement: As the performance of Least Squares Support Vector Machines (LSSVM) is highly rely on its value of regularization parameter, γ and kernel parameter, σ2, man-made approach is clearly not an appropriate solution since it may lead to blindness in certain extent. In addition, this technique is time consuming and unsystematic, which consequently affect the generalization performance of LSSVM. … …Journal of Computer Science, Vol. 8, Issue 10 · 28 Aug 2012 · 6,802 accessesView PDFCite
Research ArticleOpen accessIn the abstractSchizencephaly: Case ReportJuliana Oliveira Freitas Silveira, Fernanda Schettini de Oliveira, Fernanda Arrua Vares et al.Problem statement: Whereas schizencephaly is a malformation of cortical development which exact cause remains unknown, is almost entirely characterized by clefts extending from the pial surface to ependymal surface and could be unilateral or bilateral. Oftentimes, it also occurs in association with other abnormalities. Over the years, two types were described in literature, lips closed and open. Therefore, our intention … …Current Research in Medicine, Vol. 3, Issue 2 · 28 Aug 2012 · 8,186 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnd to End Delay Improvement in Heterogeneous Multicast Network using Genetic OptimizationV. Chandrasekar, K. BaskaranProblem statement: Multicast is a concept of group communication which refers to transmitting the same data or messages from a source to multiple destinations in the network. This one-to-many group communication is a generalization of the concepts of one-to-one unicast and one-to-all broadcast. To deliver data from the sender to all receivers efficiently, routing plays an important role in multicast … …Journal of Computer Science, Vol. 8, Issue 9 · 13 Aug 2012 · 6,737 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian and Maximum Likelihood Solutions: An Asymptotic Comparison Related to Cost FunctionMechakra Hadda, Chadli Asssia, Tiah NaceurProblem statement: Wald showed that the minimax solution is the Bayesian solution with respect to the law a priori the worst. We try to establish a similar result by comparing the Bayesian solution and the solution of maximum likelihood when the parameter space is a compact metrizable group. Approach: we take as a priori law Haar measure because we reduce … …Journal of Mathematics and Statistics, Vol. 8, Issue 2 · 4 Jul 2012 · 6,921 accessesView PDFCite