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pairwise interactions

Machine learning to identify pairwise interactions between specific IgE antibodies and their association with asthma: A cross-sectional analysis within a population-based birth cohort

Machine learning to identify pairwise interactions between specific IgE antibodies and their association with asthma: A cross-sectional analysis within a population-based birth cohort

... only pairwise interactions, and that the relation between asthma and the connectivity structure of sIgE may be more ...order interactions will need to be investigated in the ...

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PACOGEN : Automatic Generation of Pairwise Test Configurations from Feature Models

PACOGEN : Automatic Generation of Pairwise Test Configurations from Feature Models

... Oslo, Norway Abstract—Feature models are commonly used to specify variability in software product lines. Several tools support feature models for variability management at different steps in the development process. ...

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Practical Pairwise Testing for Software Product Lines

Practical Pairwise Testing for Software Product Lines

... cover pairwise interactions, as opposite to our ...of pairwise- covering valid test configurations from a feature model with constrained relations between configuration parameters in a given amount ...

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Pairwise Testing of Dynamic Composite Services

Pairwise Testing of Dynamic Composite Services

... with pairwise is shown in ...the pairwise generation scheme that covered all pairs of services, the random generation covered only ...using pairwise interactions is a sufficient choice in ...

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Juggling bubbles in square capillaries: an experimental proof of non-pairwise bubble interactions

Juggling bubbles in square capillaries: an experimental proof of non-pairwise bubble interactions

... Non-pairwise interactions between two objects do not only de- pend on their relative position, but also on the positions of other neighbouring ...Such interactions have already been re- ported in ...

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Gibbs Fields with Multiple Pairwise Pixel Interactions for Texture Simulation and Segmentation

Gibbs Fields with Multiple Pairwise Pixel Interactions for Texture Simulation and Segmentation

... To avoid the impracticable generalizations, we restrict herein the self-similarity concept to conditional probability distributions of image signals in the texels and to the pixels and pixel pairs as the (simplest) ...

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From Pairwise Comparisons and Rating to a Unified Quality Scale

From Pairwise Comparisons and Rating to a Unified Quality Scale

... TID2013) pairwise comparisons are more efficient, supporting the use of such pairwise comparisons for image quality ...missing), pairwise comparisons with connected components (PWC) and mixing with ...

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YOC, A new strategy for pairwise alignment of collinear genomes

YOC, A new strategy for pairwise alignment of collinear genomes

... Aligning closely related bacterial genomes (for instance strains of the same species) should be one of the simplest cases for genome aligners, since the genomes are of moderate size (generally 1 to 6 Mb) and divergence ...

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Improving pairwise coreference models through feature space hierarchy learning

Improving pairwise coreference models through feature space hierarchy learning

... 3.4 Optimizing hierarchies Let us assume now that the sequence of indicators is fixed, and let n be its length. To find the best feature space among a very high number of pos- sibilities, we need a criterion we can apply ...

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Optimal Minimisation of Pairwise-covering Test Configurations Using Constraint Programming

Optimal Minimisation of Pairwise-covering Test Configurations Using Constraint Programming

... (called pairwise global constraint) to enforce feature pairwise coverage over the data structure, while other logical constraints are used to capture hierarchical and cross- tree links between ...

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Coverage by Pairwise Base Station Cooperation under Adaptive Geometric Policies

Coverage by Pairwise Base Station Cooperation under Adaptive Geometric Policies

... VII. C ONCLUSION We have evaluated in the current work, the coverage proba- bility of a cellular network, when BSs can cooperate pairwise for the service of each user. For this we have applied tools from ...

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A Stochastic Geometry Framework for Analyzing Pairwise-Cooperative Cellular Networks

A Stochastic Geometry Framework for Analyzing Pairwise-Cooperative Cellular Networks

... Analyzing Pairwise-Cooperative Cellular Networks Franc¸ois Baccelli and Anastasios Giovanidis Abstract—Cooperation in cellular networks is a promising scheme to improve system performance, especially for cell-edge ...

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Pairwise MRF Calibration by Perturbation of the Bethe Reference Point

Pairwise MRF Calibration by Perturbation of the Bethe Reference Point

... • the indirect way consists in first inverting the potentially non-sparse correlation matrix. If the underlying interaction matrix is actually a tree, this will be visible in the inverse correlation matrix, indicated ...

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Optimal Filter Approximations in Conditionally Gaussian Pairwise Markov Switching Models

Optimal Filter Approximations in Conditionally Gaussian Pairwise Markov Switching Models

... and Y N 1 , would be better suited than the classical CGLSSM in such situation. Given R N 1 = r N 1 the couple (X N 1 , Y N 1 ) is then a “Gaussian Pairwise Markov Model” (GPMM) in which optimal Kalman filter can ...

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Analysing the Impact of Cross-Content Pairs on Pairwise Comparison Scaling

Analysing the Impact of Cross-Content Pairs on Pairwise Comparison Scaling

... The PWC experiment results are obtained as responses to pairwise comparisons, and instead of numerical values, they yield binary preferences. Therefore, the results cannot be averaged (or pooled) to a numerical ...

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Approximation intensity for pairwise interaction Gibbs point processes using determinantal point processes

Approximation intensity for pairwise interaction Gibbs point processes using determinantal point processes

... Abstract: The intensity of a Gibbs point process is usually an intractable function of the model parameters. For repulsive pairwise interaction point processes, this intensity can be expressed as the Laplace ...

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Detecting causal interdependence in simulated neural signals based on pairwise and multivariate analysis.

Detecting causal interdependence in simulated neural signals based on pairwise and multivariate analysis.

... A. Detection of Information Flow Firstly, we estimate LGCI considering pairwise analysis of signals (LGCI-P) and multivariate analysis (LGCI-M). The indices depend on the coupling and on the signals under study. ...

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Pairwise visual comparison of small RNA secondary structures with base pair probabilities

Pairwise visual comparison of small RNA secondary structures with base pair probabilities

... In 2013, Aalberts and Jannen [ 4 ] introduced the RNAbows diagrams, the first successful attempt to combine two representations of RNA secondary structures with base pair probabilities. It captures both the minimum free ...

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Parameter estimation in conditionally Gaussian pairwise Markov switching models and unsupervised smoothing

Parameter estimation in conditionally Gaussian pairwise Markov switching models and unsupervised smoothing

... where and are the means of the two processes respectively, which are only decided by the value of and without dependence on . Such a system, named “conditionally Gaussian pairwise Markov switching model” CGPMSM ...

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Pairwise likelihood estimation for multivariate mixed Poisson models generated by Gamma intensities

Pairwise likelihood estimation for multivariate mixed Poisson models generated by Gamma intensities

... N are independent. Consequently, this CL does not con- tain any information regarding the dependence structure between the marginal distributions of N . The composite marginal log-likelihood is not appropriate to the ...

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