<p>The histograms are to be read as in Fig.(). But with similar networks ( and ) the likelihood values though low, is still higher than that for unrelated networks on the last row of Fig. 4.</p
Abstract Background The models in this article generalize current models for both correlation networ...
We develop a statistical methodology to validate the result of network inference algorithms, based o...
<p>(a) Scattered data of the predicted global features for three data sets, using the regression coe...
When a network is inferred from data, two types of errors can occur: false positive and false negati...
We started with n = 4 as the smallest network that can contain two ‘groups’ (n > 1); this is followe...
Many studies that gather social network data use survey methods that lead to censored, missing or ot...
<p>True −− network metrics indicated where appropriate. The dotted line ⋯ shows the level of the fal...
Many models have been proposed to capture the statistical regularities in natural images patches. Th...
<p>The probabilities close to the triangle corners represent tree-like topologies (well-resolved). T...
<p>Bars represent mean Hamming distance, and errorbars are 95% confidence intervals. b) Visualizatio...
We examine asymptotic approximations for the marginal likelihood of a Bayesian net-work. We consider...
<p>Histograms of distances between pairs of connected cities,in model-inferred networks (top), versu...
<p>(A) Closeness () distributions in human (green), yeast (blue), and fly (red). Heavy lines are the...
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)De...
Motivation: Cancer biology is a field where the complexity of the phenomena battles against the avai...
Abstract Background The models in this article generalize current models for both correlation networ...
We develop a statistical methodology to validate the result of network inference algorithms, based o...
<p>(a) Scattered data of the predicted global features for three data sets, using the regression coe...
When a network is inferred from data, two types of errors can occur: false positive and false negati...
We started with n = 4 as the smallest network that can contain two ‘groups’ (n > 1); this is followe...
Many studies that gather social network data use survey methods that lead to censored, missing or ot...
<p>True −− network metrics indicated where appropriate. The dotted line ⋯ shows the level of the fal...
Many models have been proposed to capture the statistical regularities in natural images patches. Th...
<p>The probabilities close to the triangle corners represent tree-like topologies (well-resolved). T...
<p>Bars represent mean Hamming distance, and errorbars are 95% confidence intervals. b) Visualizatio...
We examine asymptotic approximations for the marginal likelihood of a Bayesian net-work. We consider...
<p>Histograms of distances between pairs of connected cities,in model-inferred networks (top), versu...
<p>(A) Closeness () distributions in human (green), yeast (blue), and fly (red). Heavy lines are the...
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)De...
Motivation: Cancer biology is a field where the complexity of the phenomena battles against the avai...
Abstract Background The models in this article generalize current models for both correlation networ...
We develop a statistical methodology to validate the result of network inference algorithms, based o...
<p>(a) Scattered data of the predicted global features for three data sets, using the regression coe...
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