About Me

I am a Ph.D. candidate in the Department of Computer Science at Cornell University. My research centers around machine learning, data mining and networks. My recent work focuses on machine learning and applications in ecology. My advisor is Professor John Hopcroft.

Research

Machine Learning

Graphical Multi-Task Learning (Preliminary Version)
Daniel Sheldon
NIPS 2008 Workshop on Structured Input and Structured Output
[pdf]

Collective Inference on Markov Models for Modeling Bird Migration
Daniel R. Sheldon, M.A. Saleh Elmohamed, Dexter Kozen
Neural Information Processing Systems (NIPS), 2007
[pdf] [spotlight] [poster]

Web Spam and Link Analysis

Network Reputation Games
John Hopcroft, Daniel Sheldon
Cornell University Technical Report http://hdl.handle.net/1813/11579.
Manuscript, 2008
[pdf]

Manipulation-Resistant Reputations Using Hitting Time
John Hopcroft, Daniel Sheldon
Workshop and Algorithms and Models for the Web Graph (WAW), 2007
(Journal version to appear in Internet Mathematics; also presnted at NIPS 2007 Workshop on Machine Learning for Web Search)
[pdf] [journal version]