The home page of Ted Sandler

the obligatory outdoorsy photo.

Who I am:

Regularized Learning with Networks of Features
Ted Sandler, John Blitzer, Partha Pratim Talukdar and Lyle H. Ungar.
Neural Information Processing Systems, 2008.
A predictive model for identifying mini-regulatory modules in the mouse genome.
Mahesh Yaragatti, Ted Sandler and Lyle Ungar
Bioinformatics, Dec. 2008.
Learning with Locally Linear Feature Regularization.
Ted Sandler, John Blitzer and Lyle H. Ungar.
Snowbird Learning Workshop, 2008.
DRASO: Declaratively Regularized Alternating Structural Optimization.
Partha Pratim Talukdar, John Blitzer, Ted Sandler, Mark Dredze, Koby Crammer, Fernando Pereira.
ICML 2008 Workshop on Prior Knowledge for Text and Language Processing, Helsinki, Finland.
Protein-protein interaction network alignment by quantitative simulation.
Perry Evans, Ted Sandler and Lyle Ungar.
Bioinformatics and Biomedicine (BIBM), 2008.
Multiway clustering for creating biomedical term sets.
Vasileios Kandylas, Lyle H. Ungar, Ted Sandler and Shane Jensen.
Bioinformatics and Biomedicine (BIBM), 2008.
Automatic term list generation for entity tagging. [code for download]
Ted Sandler, Andrew I. Schein and Lyle H. Ungar.
Bioinformatics 22(6):651-657 (2006)
Bayesian Example Selection using BaBiES.
Andrew I. Schein, Ted Sandler and Lyle H. Ungar
Univ. of Pennsylvania, Dept. of Computer and Information Science, Technical Report No. MS-CIS-04-08.