Search results for "Markov"

showing 10 items of 628 documents

Finanšu risku pārvaldība, izmantojot slēpto Markova modeli

2017

Bakalaura darbā pamatā tika apskatīts slēptais Markova modelis (SMM), kas tiek izmantots dažādās nozarēs, kā piemēram, matemātikā, fizikā, medicīnā un citur. Vēstures apraksts sniedz informāciju par Markova modeļa pirmsākumiem un pielietojumiem. Savukārt Markova process ir pamats slēptajam Markova modelim. Slēptais Markova modelis galvenokārt saskaras ar trīs galvenajām problēmām, kurām tiks sniegts risinājums. Svarīgi ir zināt SMM teorētisko pielietojumu akciju tirgum, lai pārvaldītu finanšu riskus. Bakalaura darba praktiskā daļa ir veidota uz reāliem, publiski pieejamiem Baltijas akciju tirgus cenu datiem. Atslēgvārdi: Markova process, slēptais Markova modelis (SMM), Forward, Backward, Vi…

Forwardslēptais Markova modelisMarkova processViterbiMatemātikaBackward
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Development of a Taekwondo Combat Model Based on Markov Analysis

2019

The purpose of the present study was to examine male and female Olympic taekwondo competitors' movement patterns according to their tactical actions by applying a Markov processes analysis. To perform this study, 11,474 actions by male competitors and 12,980 actions by female competitors were compiled and analyzed. The results yielded 32 significant sequences among male competitors and 30 among female competitors. Male competitors demonstrated 11 sequences initiated by an attack, 11 initiated by a counterattack, and 10 initiated by a defensive action. Female competitors demonstrated nine sequences initiated by an attack, 11 initiated by a counterattack, and 10 initiated by a defensive move.…

Frequency of occurrenceVDP::Medisinske Fag: 700::Idrettsmedisinske fag: 850::Treningslære: 851combat sportslcsh:BF1-990Markov processComputer securitycomputer.software_genre050105 experimental psychologyCompetition (economics)03 medical and health sciencessymbols.namesake0302 clinical medicinePsychology0501 psychology and cognitive sciencesGeneral PsychologyOriginal ResearchMartial artsMarkov chainprobabilistic models05 social sciencesCompetitor analysisCounterattacklcsh:Psychologymartial artsstatisticssymbolstactical patternsPsychologyRelevant informationcomputer030217 neurology & neurosurgery
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On the error sequences of M-ary FSK modulation schemes over Nakagami-m fading channels

2012

In this paper, we have studied some important statistical properties of error sequences of M-ary orthogonal frequency-shift keying (FSK) modulation schemes over Nakagami-m fading channels. We have derived the joint probability density function (PDF) of error sequences of arbitrary length. From the joint PDF, we have found an analytical solution for the autocorrelation function (ACF) of the error sequences. The correctness of the analytical expression for the ACF of error sequences has been confirmed by simulations, where the simulation results are obtained by using the sum-of-sinusoids principle. The derived joint PDF of error sequences is useful for the development of first-order and highe…

Frequency-shift keyingMarkov processNakagami distributionProbability density functionKeyingMarkov modelsymbols.namesakeJoint probability distributionStatisticssymbolsFadingAlgorithmComputer Science::Information TheoryMathematicsThe 2012 International Conference on Advanced Technologies for Communications
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Do Women Prefer More Complex Music around Ovulation?

2012

The evolutionary origins of music are much debated. One theory holds that the ability to produce complex musical sounds might reflect qualities that are relevant in mate choice contexts and hence, that music is functionally analogous to the sexually-selected acoustic displays of some animals. If so, women may be expected to show heightened preferences for more complex music when they are most fertile. Here, we used computer-generated musical pieces and ovulation predictor kits to test this hypothesis. Our results indicate that women prefer more complex music in general; however, we found no evidence that their preference for more complex music increased around ovulation. Consequently, our f…

Future studiesCultural anthropologyMarkov modelslcsh:MedicineMusicalSocial and Behavioral SciencesBehavioral Neuroscience0302 clinical medicineAttitudes (psychology)Human PerformancePsychologylcsh:Sciencemedia_commonMultidisciplinary05 social sciencesExperimental PsychologyMiddle AgedBiological EvolutionSensory SystemsPreferenceBiological AnthropologyMental HealthAuditory SystemSexual selectionMate choiceSexual selectionMedicineFemaleSensory PerceptionMusic perceptionResearch ArticleCognitive psychologyAdultOvulationAdolescentSexual Behaviormedia_common.quotation_subjectBiologyForms of Evolution050105 experimental psychology03 medical and health sciencesQL0750AnimalsHumans0501 psychology and cognitive sciencesCultural anthropologyChemistry (relationship)BiologyOvulationEvolutionary BiologyBehaviorlcsh:RAnthropologylcsh:QBioacousticsMenstrual cycleMusic030217 neurology & neurosurgeryNeurosciencePLoS ONE
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Exact results for accepting probabilities of quantum automata

2001

One of the properties of Kondacs-Watrous model of quantum finite automata (QFA) is that the probability of the correct answer for a QFA cannot be amplified arbitrarily. In this paper, we determine the maximum probabilities achieved by QFAs for several languages. In particular, we show that any language that is not recognized by an RFA (reversible finite automaton) can be recognized by a QFA with probability at most 0.7726...

General Computer ScienceFOS: Physical sciences0102 computer and information sciences02 engineering and technologyUnitary transformationComputer Science::Computational Complexity01 natural sciencesTheoretical Computer ScienceCombinatoricsQuantum measurementFormal languageQuantum computation0202 electrical engineering electronic engineering information engineeringQuantum finite automataMathematicsQuantum computerQuantum PhysicsFinite-state machineMarkov chainExact resultsTransformation (function)010201 computation theory & mathematics020201 artificial intelligence & image processingQuantum Physics (quant-ph)Finite automataComputer Science::Formal Languages and Automata TheoryComputer Science(all)Theoretical Computer Science
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Relative risk estimation of dengue disease at small spatial scale

2017

Abstract Background Dengue is a high incidence arboviral disease in tropical countries around the world. Colombia is an endemic country due to the favourable environmental conditions for vector survival and spread. Dengue surveillance in Colombia is based in passive notification of cases, supporting monitoring, prediction, risk factor identification and intervention measures. Even though the surveillance network works adequately, disease mapping techniques currently developed and employed for many health problems are not widely applied. We select the Colombian city of Bucaramanga to apply Bayesian areal disease mapping models, testing the challenges and difficulties of the approach. Methods…

General Computer ScienceOperations research030231 tropical medicinePopulationGeographic MappingColombialcsh:Computer applications to medicine. Medical informaticsNormalized Difference Vegetation IndexDengue feverDengue03 medical and health sciencessymbols.namesake0302 clinical medicineCohen's kappaRisk FactorsStatisticsmedicineHumans030212 general & internal medicineSatellite imagesRisk factoreducationEstimationeducation.field_of_studyResearchPublic Health Environmental and Occupational HealthCohen’s KappaMarkov chain Monte CarloBayes Theoremmedicine.diseaseGeneral Business Management and AccountingBayesian modelingGeographyData qualitysymbolsDisease mappinglcsh:R858-859.7International Journal of Health Geographics
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Real-Time Assembly Support System with Hidden Markov Model and Hybrid Extensions

2022

This paper presents a context-aware adaptive assembly assistance system meant to support factory workers by embedding predictive capabilities. The research is focused on the predictor which suggests the next assembly step. Hidden Markov models are analyzed for this purpose. Several prediction methods have been previously evaluated and the prediction by partial matching, which was the most efficient, is considered in this work as a component of a hybrid model together with an optimally configured hidden Markov model. The experimental results show that the hidden Markov model is a viable choice to predict the next assembly step, whereas the hybrid predictor is even better, outperforming in so…

General MathematicsComputer Science (miscellaneous)assembly support systems; hidden Markov models; prediction by partial matching; hybrid predictionEngineering (miscellaneous)Mathematics
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Modified Operators Interpolating at Endpoints

2021

Some classical operators (e.g., Bernstein) preserve the affine functions and consequently interpolate at the endpoints. Other classical operators (e.g., Bernstein–Durrmeyer) have been modified in order to preserve the affine functions. We propose a simpler modification with the effect that the new operators interpolate at endpoints although they do not preserve the affine functions. We investigate the properties of these modified operators and obtain results concerning iterates and their limits, Voronovskaja-type results and estimates of several differences.

General MathematicsOrder (ring theory)iteratesIterated functionMarkov operatorsComputer Science (miscellaneous)QA1-939Applied mathematicsdifferences of operatorsAffine transformationEngineering (miscellaneous)MathematicsMathematicsVoronovskaja-type resultsMathematics
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Replication of linkage of familial hypobetalipoproteinemia to chromosome 3p in six kindreds

2002

Familial hypobetalipoproteinemia (FHBL) is a genetically heterogeneous condition characterized by very low apolipoprotein B (apoB) concentrations in plasma and/or low levels of LDL-cholesterol (LDL-C) with a propensity to developing fatty liver. In a minority of cases, truncation-specifying mutations of the apoB gene (APOB) are etiologic, but the genetic basis of most cases is unknown. We previously reported linkage of FHBL to a 10 cM region on 3p21.1-22 in one kindred. The objectives of the current study were to identify other FHBL families with linkage to 3p and to narrow the FHBL susceptibility region on 3p. Six additional FHBL kindreds unlinked to the APOB region on chromosome 2 were ge…

Genetic MarkersAdultMaleMeiosiSettore MED/09 - Medicina InternaApolipoprotein BGenotypeGenetic LinkageQD415-436BiologyBiochemistryChromosomal crossoverHypobetalipoproteinemiasEndocrinologyQuantitative Trait HeritableGenetic linkageGenetic MarkerHaplotypeHumanslinkage analysisCrossing Over GeneticChildAgedAdult; Aged; Aged 80 and over; Child; Chromosome Mapping; Chromosomes Human Pair 3; Crossing Over Genetic; Female; Genetic Linkage; Genetic Markers; Genotype; Haplotypes; Humans; Hypobetalipoproteinemias; Male; Meiosis; Middle Aged; Pedigree; Quantitative Trait HeritableGeneticsAged 80 and overGenetic heterogeneityHaplotypeChromosomeChromosome MappingCell BiologyoligogenicMiddle AgedPedigreeMeiosisMarkov chain Monte CarloChromosome 3HaplotypesGenetic markerbiology.proteinvariance componentslipids (amino acids peptides and proteins)FemaleChromosomes Human Pair 3geneticHypobetalipoproteinemiaHuman
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Conjugate Gradient Method for Brain Magnetic Resonance Images Segmentation

2018

Part 8: Pattern Recognition and Image Processing; International audience; Image segmentation is the process of partitioning the image into regions of interest in order to provide a meaningful representation of information. Nowadays, segmentation has become a necessity in many practical medical imaging methods as locating tumors and diseases. Hidden Markov Random Field model is one of several techniques used in image segmentation. It provides an elegant way to model the segmentation process. This modeling leads to the minimization of an objective function. Conjugate Gradient algorithm (CG) is one of the best known optimization techniques. This paper proposes the use of the nonlinear Conjugat…

Ground truthComputer sciencebusiness.industryThe Conjugate Gradient algorithmComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONBrain image segmentationPattern recognition02 engineering and technologyImage segmentationImage (mathematics)Nonlinear conjugate gradient method03 medical and health sciences0302 clinical medicineDice Coefficient metricHidden Markov Random FieldConjugate gradient methodComputer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSegmentation[INFO]Computer Science [cs]Artificial intelligencebusinessHidden Markov random field030217 neurology & neurosurgery
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