Jeff A. Bilmes

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Papers (13)

1. Faster graphical model identification of tandem mass spectra using peptide word lattices q-bio.MN · 2014 · author #3
2. The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking cs.LG · 2014 · author #2
3. Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications cs.LG · 2014 · author #2
4. Dynamic Bayesian Multinets cs.LG · 2013 · author #1
5. On Triangulating Dynamic Graphical Models cs.AI · 2012 · author #1
6. Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra cs.CE · 2012 · author #3
7. Learning Mixtures of Submodular Shells with Application to Document Summarization cs.LG · 2012 · author #2
8. PAC-learning bounded tree-width Graphical Models cs.LG · 2012 · author #2
9. A submodular-supermodular procedure with applications to discriminative structure learning cs.LG · 2012 · author #2
10. Recognizing Activities and Spatial Context Using Wearable Sensors cs.AI · 2012 · author #3
11. Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models cs.AI · 2012 · author #2
12. Consensus ranking under the exponential model cs.LG · 2012 · author #4
13. Active Semi-Supervised Learning using Submodular Functions cs.LG · 2012 · author #2

Mentions

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Frequent Coauthors

• Chris Bartels 2 shared papers
• Mukund Narasimhan 2 shared papers
• Rishabh Iyer 2 shared papers
• William S. Noble 2 shared papers
• Ajit P. Singh 1 shared papers
• Alvin Raj 1 shared papers
• Amarnag Subramanya 1 shared papers
• Andrew Guillory 1 shared papers
• Arthur Patterson 1 shared papers
• Dieter Fox 1 shared papers
• Hui Lin 1 shared papers
• John Halloran 1 shared papers
• John T. Halloran 1 shared papers
• Kapil Phadnis 1 shared papers
• Katrin Kirchoff 1 shared papers
• Marina Meila 1 shared papers
• Shengjie Wang 1 shared papers