Search results for "Mathematic"

showing 10 items of 24974 documents

Super-fit and population size reduction in compact Differential Evolution

2011

Although Differential Evolution is an efficient and versatile optimizer, it has a wide margin of improvement. During the latest years much effort of computer scientists studying Differential Evolution has been oriented towards the improvement of the algorithmic paradigm by adding and modifying components. In particular, two modifications lead to important improvements to the original algorithmic performance. The first is the super-fit mechanism, that is the injection at the beginning of the optimization process of a solution previously improved by another algorithm. The second is the progressive reduction of the population size during the evolution of the population. Recently, the algorithm…

ta113Mathematical optimizationeducation.field_of_studyMeta-optimizationFitness landscapeComputer sciencePopulation-based incremental learningPopulationContext (language use)Reduction (complexity)Differential evolutionAlgorithm designeducationAlgorithm2011 IEEE Workshop on Memetic Computing (MC)
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Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization

2015

Classical evolutionary multi-objective optimization algorithms aim at finding an approx- imation of the entire set of Pareto optimal solutions. By considering the preferences of a decision maker within evolutionary multi-objective optimization algorithms, it is possible to focus the search only on those parts of the Pareto front that satisfy his/her preferences. In this paper, an extended preference-based evolutionary algorithm has been proposed for solving multi-objective optimiza- tion problems. Here, concepts from an interactive synchronous NIMBUS method are borrowed and combined with the R-NSGA-II algorithm. The proposed synchronous R-NSGA-II algorithm uses preference information provid…

ta113Mathematical optimizationinteractive multi-objective optimizationApplied MathematicsEvolutionary algorithmApproxDecision makerMulti-objective optimizationscalarizing functionSet (abstract data type)Pareto optimalevolutionary multi-objective optimizationpreference-based evolutionary algorithmsFocus (optics)Preference (economics)Information SystemsMathematicsInformatica
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A New Augmented Lagrangian Approach for $L^1$-mean Curvature Image Denoising

2015

Variational methods are commonly used to solve noise removal problems. In this paper, we present an augmented Lagrangian-based approach that uses a discrete form of the L1-norm of the mean curvature of the graph of the image as a regularizer, discretization being achieved via a finite element method. When a particular alternating direction method of multipliers is applied to the solution of the resulting saddle-point problem, this solution reduces to an iterative sequential solution of four subproblems. These subproblems are solved using Newton’s method, the conjugate gradient method, and a partial solution variant of the cyclic reduction method. The approach considered here differs from ex…

ta113Mean curvatureDiscretizationimage denoisingAugmented Lagrangian methodApplied MathematicsGeneral Mathematicsmean curvaturekuvankäsittelyTopologyFinite element methodimage processingsymbols.namesakeLagrangian relaxationLagrange multiplierConjugate gradient methodsymbolsApplied mathematicsaugmented Lagrangian methodalternating direction methods of multipliersvariational modelMathematicsCyclic reductionSIAM Journal on Imaging Sciences
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Mobile Banking Services Continuous Usage -- Case Study of Finland

2016

Finland is at the forefront of using new information systems, such as mobile banking (m-banking). The present study develops and tests a model of continuous usage intentions toward m-banking services for a sample of 273 Finnish m-banking users. Results confirm the hypothesized direct relationships between self-congruence and perceived value, perceived risk and perceived value, perceived value and continuous usage, and continuous usage and word of mouth. The frequency of usage of m-banking services and experience moderate the relationship between perceived value and continuous usage. We discuss the theoretical and managerial implications of the study results and present recommendations for f…

ta113Mobile bankingbusiness.industry05 social sciencesWord of mouthSample (statistics)AdvertisingRisk perception0502 economics and businessInformation systemmobile banking050211 marketingThe InternetBusinessMarketingta512Value (mathematics)Finland050203 business & managementConsumer behaviour2016 49th Hawaii International Conference on System Sciences (HICSS)
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Exploiting ongoing EEG with multilinear partial least squares during free-listening to music

2016

During real-world experiences, determining the stimulus-relevant brain activity is excitingly attractive and is very challenging, particularly in electroencephalography. Here, spectrograms of ongoing electroencephalogram (EEG) of one participant constructed a third-order tensor with three factors of time, frequency and space; and the stimulus data consisting of acoustical features derived from the naturalistic and continuous music formulated a matrix with two factors of time and the number of features. Thus, the multilinear partial least squares (PLS) conforming to the canonical polyadic (CP) model was performed on the tensor and the matrix for decomposing the ongoing EEG. Consequently, we …

ta113Multilinear mapmedicine.diagnostic_testBrain activity and meditationSpeech recognition02 engineering and technologyElectroencephalographyta3112Matrix decomposition03 medical and health sciences0302 clinical medicinetensor decompositionFrequency domainPartial least squares regression0202 electrical engineering electronic engineering information engineeringmedicineSpectrogramOngoing EEG020201 artificial intelligence & image processingmusicTime domain030217 neurology & neurosurgerymultilinear partial least squaresMathematics
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Consumer value of camera-based mobile interaction with the real world

2013

Camera-based mobile interaction with the real world allows consumers to connect digital information with the real-world environment, and furthermore, to interact with real-world objects and places. To explore and understand the types of consumer value in the context of such consumer-level applications, we applied the critical incident technique to reflect actual use experiences from 107 application users with a recognized consumer value framework by Holbrook. The findings of the study suggest that at the current state value is heavily based on utilitarian efficiency and excellence. Although the applications enable a diverse value, they have yet to fulfill their potential in providing hedoni…

ta113MultimediaComputer Networks and CommunicationsComputer sciencemedia_common.quotation_subjectContext (language use)computer.software_genreComputer Science ApplicationsHardware and ArchitectureHuman–computer interactionExcellenceState (computer science)ta512computerCritical Incident TechniqueValue (mathematics)Mobile interactionSoftwareInformation SystemsValue frameworkActual usemedia_commonPervasive and Mobile Computing
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Do videowikis on the web support better (constructivist) learning in the basics of information systems science?

2012

This paper describes the combination of a wiki and screen capture videos as a complementary addition to conventional lectures in an information management and information systems development course. Our basis was collaborative problem-based learning with the problems defined by students. The idea was that students were expected to find concepts or issues from four lecture themes which are not well-defined or clarified for them. The students worked in small groups of two or three students or they completed the coursework individually. First, the students selected the theme which was most unclear for them. Second, the students selected the problematic things from this area and created the pre…

ta113MultimediaComputer scienceCollaborative learningConnectivismcomputer.software_genreJigsawConstructivist teaching methodsProblem-based learningConstructivism (philosophy of education)CourseworkComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationInformation systemcomputer
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Combining PCA and multiset CCA for dimension reduction when group ICA is applied to decompose naturalistic fMRI data

2015

An extension of group independent component analysis (GICA) is introduced, where multi-set canonical correlation analysis (MCCA) is combined with principal component analysis (PCA) for three-stage dimension reduction. The method is applied on naturalistic functional MRI (fMRI) images acquired during task-free continuous music listening experiment, and the results are compared with the outcome of the conventional GICA. The extended GICA resulted slightly faster ICA convergence and, more interestingly, extracted more stimulus-related components than its conventional counterpart. Therefore, we think the extension is beneficial enhancement for GICA, especially when applied to challenging fMRI d…

ta113MultisetPCAGroup (mathematics)business.industrydimension reductionSpeech recognitionDimensionality reductionPattern recognitionMusic listeningta3112naturalistic fMRIGroup independent component analysisPrincipal component analysistemporal cocatenationArtificial intelligenceCanonical correlationbusinessmultiset CCAMathematics
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IMEX schemes for pricing options under jump–diffusion models

2014

We propose families of IMEX time discretization schemes for the partial integro-differential equation derived for the pricing of options under a jump-diffusion process. The schemes include the families of IMEX-midpoint, IMEX-CNAB and IMEX-BDF2 schemes. Each family is defined by a convex combination parameter [email protected]?[0,1], which divides the zeroth-order term due to the jumps between the implicit and explicit parts in the time discretization. These IMEX schemes lead to tridiagonal systems, which can be solved extremely efficiently. The schemes are studied through Fourier stability analysis and numerical experiments. It is found that, under suitable assumptions and time step restric…

ta113Numerical AnalysisMathematical optimizationTridiagonal matrixDiscretizationApplied MathematicsJump diffusionStability (probability)Term (time)Computational MathematicsValuation of optionsConvex combinationLinear multistep methodMathematicsApplied Numerical Mathematics
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Understanding differences among coding club students

2014

Scholars and instructors have been carrying out a multitude of actions to increase students' interest in computer science during the past years. Still, there is a need for knowledge on how these attempts develop student interest. In this qualitative study, we construct illustrative categories out of students who have attended our K-12 coding club and game programming summer course activities. We found four categories: Inactivity, Lack of self-direction, Experimenting, and Professionalism. We also briefly project this abstraction onto a four-phase model of interest development.

ta113OutreachGame programmingComputer scienceMultitudePedagogyComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationClubCoding (social sciences)Qualitative researchProceedings of the 2014 conference on Innovation & technology in computer science education - ITiCSE '14
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