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11/17/2019
Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition
Existing deep active learning algorithms achieve impressive sampling eff...
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10/24/2017
Implementing Recommendation Algorithms in a Large-Scale Biomedical Science Knowledge Base
The number of biomedical research articles published has doubled in the ...
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07/24/2016
Interactive Learning from Multiple Noisy Labels
Interactive learning is a process in which a machine learning algorithm ...
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08/11/2014
Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of Tumors
Statistical machine learning methods, especially nonparametric Bayesian ...
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06/27/2014
Reconstructing subclonal composition and evolution from whole genome sequencing of tumors
Tumors often contain multiple subpopulations of cancerous cells defined ...
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10/11/2012
Inferring clonal evolution of tumors from single nucleotide somatic mutations
High-throughput sequencing allows the detection and quantification of fr...
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06/18/2012
Predicting accurate probabilities with a ranking loss
In many real-world applications of machine learning classifiers, it is e...
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12/22/2009