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12/07/2022
Leveraging Structure for Improved Classification of Grouped Biased Data
We consider semi-supervised binary classification for applications in wh...
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10/19/2021
Explaining Deep Tractable Probabilistic Models: The sum-product network case
We consider the problem of explaining a tractable deep probabilistic mod...
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12/29/2017
Identifiability of two-component skew normal mixtures with one known component
We give sufficient identifiability conditions for estimating mixing prop...
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12/27/2017
Enumerating consistent subgraphs of directed acyclic graphs: an insight into biomedical ontologies
Modern problems of concept annotation associate an object of interest (g...
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03/14/2017
Classification in biological networks with hypergraphlet kernels
Biological and cellular systems are often modeled as graphs in which ver...
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02/02/2017
Recovering True Classifier Performance in Positive-Unlabeled Learning
A common approach in positive-unlabeled learning is to train a classific...
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08/14/2016
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data
Machine learning methods are used to discover complex nonlinear relation...
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06/28/2016
Estimating the class prior and posterior from noisy positives and unlabeled data
We develop a classification algorithm for estimating posterior distribut...
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03/22/2016
New metrics for learning and inference on sets, ontologies, and functions
We propose new metrics on sets, ontologies, and functions that can be us...
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01/08/2016