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John T. Halloran

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affiliation: University of California, Davis, Department of Public Health Sciences, CA, USA
affiliation: University of Washington, Department of Electrical Engineering, Seattle, WA, USA

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2020 – today

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2020
[c6]
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John T. Halloran, David M. Rocke:
GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification. NeurIPS 2020
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  - journals/corr/abs-2008-03433
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John T. Halloran, David M. Rocke:
GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification. CoRR abs/2008.03433 (2020)

2010 – 2019

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2019
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  - journals/corr/abs-1909-02093
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John T. Halloran, David M. Rocke:
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra. CoRR abs/1909.02093 (2019)
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John T. Halloran, David M. Rocke:
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra. CoRR abs/1909.02136 (2019)
2018
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John T. Halloran, David M. Rocke:
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra. NeurIPS 2018: 5425-5435
[i2]
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  - journals/corr/abs-1807-06574
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Rishabh K. Iyer, John T. Halloran, Kai Wei:
Jensen: An Easily-Extensible C++ Toolkit for Production-Level Machine Learning and Convex Optimization. CoRR abs/1807.06574 (2018)
2017
[c4]
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John T. Halloran:
Analyzing Tandem Mass Spectra: A Graphical Models Perspective. AMBN 2017: 6
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John T. Halloran, David M. Rocke:
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra. NIPS 2017: 5724-5733
2016
[j1]
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  - journals/bioinformatics/WangHBN16
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Shengjie Wang, John T. Halloran, Jeff A. Bilmes, William S. Noble:
Faster and more accurate graphical model identification of tandem mass spectra using trellises. Bioinform. 32(12): 322-331 (2016)
2014
[c2]
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  - conf/uai/HalloranBN14
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John T. Halloran, Jeff A. Bilmes, William Stafford Noble:
Learning Peptide-Spectrum Alignment Models for Tandem Mass Spectrometry. UAI 2014: 320-329
2012
[c1]
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  - conf/uai/SinghHBKN12
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Ajit P. Singh, John T. Halloran, Jeff A. Bilmes, Katrin Kirchhoff, William Stafford Noble:
Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra. UAI 2012: 775-785
[i1]
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  - journals/corr/abs-1210-4904
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Ajit P. Singh, John T. Halloran, Jeff A. Bilmes, Katrin Kirchhoff, William Stafford Noble:
Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra. CoRR abs/1210.4904 (2012)

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