Search results for " Probability"

showing 10 items of 2176 documents

On using novel “Anti-Bayesian” techniques for the classification of dynamical data streams

2017

The classification of dynamical data streams is among the most complex problems encountered in classification. This is, firstly, because the distribution of the data streams is non-stationary, and it changes without any prior “warning”. Secondly, the manner in which it changes is also unknown. Thirdly, and more interestingly, the model operates with the assumption that the correct classes of previously-classified patterns become available at a juncture after their appearance. This paper pioneers the use of unreported novel schemes that can classify such dynamical data streams by invoking the recently-introduced “Anti-Bayesian” (AB) techniques. Contrary to the Bayesian paradigm, that compare…

QuantilesComputer scienceData stream miningBayesian probability02 engineering and technologyClassificationcomputer.software_genreAnti-Bayesian classificationRobustness (computer science)020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingData miningcomputerBayesian paradigmQuantile2017 IEEE Congress on Evolutionary Computation (CEC)
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A nanodosimetric model of radiation-induced clustered DNA damage yields

2010

International audience; We present a nanodosimetric model for predicting the yield of double strand breaks (DSBs) and non-DSB clustered damages induced in irradiated DNA. The model uses experimental ionization cluster size distributions measured in a gas model by an ion counting nanodosimeter or, alternatively, distributions simulated by a Monte Carlo track structure code developed to simulate the nanodosimeter. The model is based on a straightforward combinatorial approach translating ionizations, as measured or simulated in a sensitive gas volume, to lesions in a DNA segment of one-two helical turns considered equivalent to the sensitive volume of the nanodosimeter. The two model paramete…

Quantitative Biology::BiomoleculesAlgorithms Computer Simulation DNA/*radiation effects DNA Breaks[PHYS.PHYS.PHYS-MED-PH] Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph][ PHYS.PHYS.PHYS-MED-PH ] Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph]Genetic Monte Carlo Method Nanotechnology/instrumentation/*methods Plasmids/radiation effects Probability Protons/adverse effects Radiometry/instrumentation/*methods Reproducibility of Results Saccharomyces cerevisiae SoftwareDouble-Stranded/radiation effects DNA Damage/*radiation effects Helium/adverse effects *Models
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"Table 2" of "Measurement of the correlations between the polar angles of leptons from top quark decays in the helicity basis at $\sqrt{s}=7$TeV usin…

2017

The correlation factors for the statistical uncertainties between any two bins of the unfolded distribution.

Quantitative Biology::BiomoleculesP P --> LEPTON+ NU LEPTON- NUBAR BOTTOM BOTTOMBAR XDifferential Cross SectionP P --> W+ W- BOTTOM BOTTOMBAR XTopTop Production7000.0Astrophysics::Cosmology and Extragalactic AstrophysicsPhysics::Data Analysis; Statistics and ProbabilityP P --> TOP TOPBAR XInclusiveProton-Proton ScatteringW Pair ProductionAngular DependenceW ProductionDSIG/DTHETA
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Transition densities for stochastic Hodgkin-Huxley models

2012

We consider a stochastic Hodgkin-Huxley model driven by a periodic signal as model for the membrane potential of a pyramidal neuron. The associated five dimensional diffusion process is a time inhomogeneous highly degenerate diffusion for which the weak Hoermander condition holds only locally. Using a technique which is based on estimates of the Fourier transform, inspired by Fournier 2008, Bally 2007 and De Marco 2011, we show that the process admits locally a strictly positive continuous transition density. Moreover, we show that the presence of noise enables the stochastic system to imitate any possible deterministic spiking behavior, i.e. mixtures of regularly spiking and non-spiking ti…

Quantitative Biology::Neurons and CognitionProbability (math.PR)FOS: Mathematics60 J 60Mathematics - Probability
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Ergodicity and limit theorems for degenerate diffusions with time periodic drift. Applications to a stochastic Hodgkin-Huxley model

2015

We formulate simple criteria for positive Harris recurrence of strongly degenerate stochastic differential equations with smooth coefficients when the drift depends on time and space and is periodic in the time argument. There is no time dependence in the diffusion coefficient. Our criteria rely on control systems and the support theorem, existence of an attainable inner point of full weak Hoermander dimension and of some Lyapunov function. Positive Harris recurrence enables us to prove limit theorems for such diffusions. As an application, we consider a stochastic Hodgkin-Huxley model for a spiking neuron including its dendritic input. The latter carries some deterministic periodic signal …

Quantitative Biology::Neurons and CognitionProbability (math.PR)FOS: MathematicsMathematics - Probability
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Appendix D. Pairwise Pearson correlation coefficients between the commercial and ecological traits considered in the meta-analysis.

2016

Pairwise Pearson correlation coefficients between the commercial and ecological traits considered in the meta-analysis.

Quantitative Biology::Populations and EvolutionPhysics::Data Analysis; Statistics and ProbabilityQuantitative Biology::Genomics
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QSAR models for tyrosinase inhibitory activity description applying modern statistical classification techniques: A comparative study

2010

Abstract Cluster analysis (CA), Linear and Quadratic Discriminant Analysis (L(Q)DA), Binary Logistic Regression (BLR) and Classification Tree (CT) are applied on two datasets for description of tyrosinase inhibitory activity from molecular structures. The first set included 701 tyrosinase inhibitors (TI) that are used for performance of inhibitory and non-inhibitory activity and the second one is for potency estimation of active compounds. 2D TOMOCOMD-CARDD atom-based quadratic indices are computed as molecular descriptors. CA is used to “rational” design of training (TS) and prediction set (PS) but it shows of not being adequate as classification technique. On the first data, the overall a…

Quantitative structure–activity relationshipReceiver operating characteristicProcess Chemistry and TechnologyDecision tree learningPosterior probabilityQuadratic classifierComputer Science ApplicationsAnalytical ChemistrySet (abstract data type)Statistical classificationMolecular descriptorStatisticsSpectroscopySoftwareMathematicsChemometrics and Intelligent Laboratory Systems
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Contextuality is About Identity of Random Variables

2014

Contextual situations are those in which seemingly "the same" random variable changes its identity depending on the conditions under which it is recorded. Such a change of identity is observed whenever the assumption that the variable is one and the same under different conditions leads to contradictions when one considers its joint distribution with other random variables (this is the essence of all Bell-type theorems). In our Contextuality-by-Default approach, instead of asking why or how the conditions force "one and the same" random variable to change "its" identity, any two random variables recorded under different conditions are considered different "automatically". They are never the…

Quantum Physics05 social sciencesProbabilistic logicFOS: Physical sciencesCondensed Matter Physics01 natural sciences050105 experimental psychologyAtomic and Molecular Physics and OpticsKochen–Specker theoremIdentity (mathematics)Joint probability distribution0103 physical sciences81P13 81P05 60A990501 psychology and cognitive sciences010306 general physicsQuantum Physics (quant-ph)Mathematical economicsRandom variableMathematical PhysicsVariable (mathematics)Physical lawMathematics
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Necessary and Sufficient Conditions for an Extended Noncontextuality in a Broad Class of Quantum Mechanical Systems

2015

The notion of (non)contextuality pertains to sets of properties measured one subset (context) at a time. We extend this notion to include so-called inconsistently connected systems, in which the measurements of a given property in different contexts may have different distributions, due to contextual biases in experimental design or physical interactions (signaling): a system of measurements has a maximally noncontextual description if they can be imposed a joint distribution on in which the measurements of any one property in different contexts are equal to each other with the maximal probability allowed by their different distributions. We derive necessary and sufficient conditions for th…

Quantum PhysicsClass (set theory)Property (philosophy)ta114Computer scienceSocial connectednessProbability (math.PR)ta111FOS: Physical sciencesGeneral Physics and AstronomyContext (language use)Electrical Engineering Electronic Engineering Information EngineeringKochen–Specker theoremkontekstuaalisuusMechanical systemJoint probability distributionFOS: MathematicscontextualityStatistical physicsElektroteknik och elektronikQuantum Physics (quant-ph)81P13 81Q99 60A99quantum mechanical systemsQuantumMathematics - ProbabilityPhysical Review Letters
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Observation of time-invariant coherence in a room temperature quantum simulator

2015

The ability to live in coherent superpositions is a signature trait of quantum systems and constitutes an irreplaceable resource for quantum-enhanced technologies. However, decoherence effects usually destroy quantum superpositions. It has been recently predicted that, in a composite quantum system exposed to dephasing noise, quantum coherence in a transversal reference basis can stay protected for indefinite time. This can occur for a class of quantum states independently of the measure used to quantify coherence, and requires no control on the system during the dynamics. Here, such an invariant coherence phenomenon is observed experimentally in two different setups based on nuclear magnet…

Quantum PhysicsCondensed Matter - Mesoscale and Nanoscale PhysicsPhysics - Data Analysis Statistics and ProbabilityMesoscale and Nanoscale Physics (cond-mat.mes-hall)FOS: Physical sciencesNuclear Experiment (nucl-ex)Quantum Physics (quant-ph)Nuclear ExperimentData Analysis Statistics and Probability (physics.data-an)
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