Paradigm Regained: Abstraction Mechanisms for Access Control Mark S. Miller Hewlett Packard Laboratories, Johns Hopkins University

Source URL: erights.org

Paradigm Regained: Abstraction Mechanisms for Access Control Mark S. Miller Hewlett Packard Laboratories, Johns Hopkins University

Source URL: erights.org

Siegler wins Meyerhoff award for leading UChicago’s MacLean Center Mark Siegler, MD, MACP, is the winner of the 2016 Harvey M. Meyerhoff Leadership in Bioethics Award from the Johns Hopkins Berman Institute of Bioethi

Source URL: d3qi0qp55mx5f5.cloudfront.net

Name Phylogeny: A Generative Model of String Variation Nicholas Andrews and Jason Eisner and Mark Dredze Department of Computer Science and Human Language Technology Center of Excellence Johns Hopkins University 3400 N.

Source URL: aclweb.org

Uncertain numerals Erin Zaroukian, Johns Hopkins University We often use words like maybe to mark uncertainty in our utterances. When we mark our uncertainty on numerals, however, strange things happen. Below we will see

Source URL: www.macsim.us

PHYSICAL REVIEW E 77, 031801 共2008兲 Strain hardening of polymer glasses: Entanglements, energetics, and plasticity Robert S. Hoy* and Mark O. Robbins Department of Physics and Astronomy, Johns Hopkins University, Ba

Source URL: labs.cas.usf.edu

PHYSICAL REVIEW E 69, Fcc-bcc transition for Yukawa interactions determined by applied strain deformation Robert S. Hoy* and Mark O. Robbins Department of Physics and Astronomy, Johns Hopkins University, B

Source URL: labs.cas.usf.edu

ARTICLE pubs.acs.org/est Interactive effects of maternal and dietary mercury exposure have latent and lethal consequences for amphibian larvae Christine M. Bergeron,† William A. Hopkins,*,† Brian D. Todd,†,§ Mark

Source URL: toddlab.ucdavis.edu

Scaling of the Strain Hardening Modulus of Glassy Polymers with the Flow Stress MARK O. ROBBINS,1 ROBERT S. HOY2 1 Department of Physics and Astronomy, Johns Hopkins University, Baltimore, Maryland 21218

Source URL: labs.cas.usf.edu

Robust Entity Clustering via Phylogenetic Inference Nicholas Andrews and Jason Eisner and Mark Dredze Department of Computer Science and Human Language Technology Center of Excellence Johns Hopkins University 3400 N. Cha

Source URL: www.cs.jhu.edu

• Statistics
• Estimation theory
• Computational statistics
• Cluster analysis
• Gibbs sampling
• Markov chain Monte Carlo
• Expectationmaximization algorithm
• Consensus clustering
• Likelihood function
• Sampling