Bayesian Learning
A Bayesian network, Bayes network, belief network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical model (a type of statistical model) that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG). (Wikipedia)
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A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
Neural Information Processing Systems
Haplotype assembly and viral quasispecies reconstruction are challenging tasks concerned with analysis of genomic mixtures using sequencing data.
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Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data
Neural Information Processing Systems
The premise of semi-supervised learning (SSL) is that combining labeled and unlabeled data yields significantly more accurate models.
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