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Jeff Schneider

University/Research Lab: Carnegie Mellon University, School of Computer Science
Location: (Pittsburgh, PA)
Personal Research Web Page: http://www.cs.cmu.edu/~schneide

Keywords: machine learning, data mining, active learning, learning control, anomaly and pattern detection, graph mining and social networks

Posted on: Wednesday, May 11th, 2011
Broad Research Area: AI / Machine Learning / Robotics / Vision, Databases / Information Retrieval / Data Mining, Scientific/Medical Informatics

Research Interests:

I will consider candidates in any of my research keyword areas.

Projects of current special interest in my group include:

* active learning to choose drug candidates during drug discovery
* active learning to fit scientific models, especially in astrophysics
* methods for finding groups or pattern of anomalies
* planning/navigation for active data collection in an anomaly finding task
* matrix completion methods in demand forecasting and collaborative filtering
* methods of smart regularization in learning
* learning dynamic models from scientific data where time/trajectory information is missing
* finding events in time series data from sensor networks, in particular for the CTBTO

 

Contact Information:

e-mail: schneide@cs.cmu.edu
voice: 412 268 2339

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