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Showing 1 to 3 of 3 for “"partial sample"”.
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Inferring Network Status from Partial Observations
… the complete set of failed nodes, when only a sample of the node failures are known---we will be referring to this particular problem as prob{} . We consider the setting in which there exists correlations between node failures in networks, which has been studied in the case of many …
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Essays on social networks in development economics
… issues that arise when researchers work with sampled network data. The final two chapters study how the embedding of agents in a network affects a group's ability to overcome weak contracting institutions and what models of social learning are important in describing the diffusion of …
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PATIENT SIMILARITY NETWORKS-BASED METHODS FOR MULTIMODAL DATA INTEGRATION AND CLINICAL OUTCOME PREDICTION
… by high-dimensionality opposed to a limited sample size ("small-sample-size" problem). The high level of sparsity in the resulting datasets often leads to high computational costs and to biased (supervised and unsupervised) analysis, mainly due to redundant and noisy features. These problems …