CCLS researcher, Claire Monteleoni, and her collaborator Gavin Schmidt, were awarded funding by Columbia University's Earth Institute, for their research on Climate Informatics. The funding will support an undergraduate research assistant on the project.
Marine Carpuat, Yuval Marton and Nizar Habash received one of the two best paper awards at TALN 2010, the 17th "Conférence sur le Traitement Automatique des Langues Naturelles" (Conference on Natural Language Processing), which was held in Montréal from July 19 to 23, 2010.
MathWorks, Inc signs a pilot agreement with CCLS to test scalability of Distributed Computing Server on the Amazon Cloud Infrastructure
A team from CCLS (Haimonti Dutta, Hatim Diab and Manoj Pooleery) is collaborating with MathWorks, Inc. to test the scalability of MATLAB Parallel Computing Toolbox and Distributed Computing Server (MDCS) on the Amazon EC2 / S3 Cloud.
CCLS researcher Dr. Claire Monteleoni and student Shailesh Saroha are collaborating with NASA climate modeler Dr. Gavin Schmidt, on a project that Dr. Schmidt will present this month at the IPCC Expert Meeting on Assessing and Combining Multi Model Climate Projections. The IPCC, established by the United Nations in 1988, received the Nobel Peace Prize in 2007, shared with Al Gore.
The poster - "Report Cards for Manholes: Eliciting Expert Feedback for a Learning Task" by Radeva, Axinia; Rudin, Cynthia; Passonneau, Rebecca J. (CCLS) and Isaac, Delfina (Con Ed) won the best poster award at 8th International Conference on Machine Learning and Applications (ICMLA 2009). Miami, FL.
Patented controller will
deliver power quickly and cheaply
Drs. Dutta, Waltz, Schevon and Emerson win an NSF award to work on a Distributed Framework for Learning on EEG Data obtained from Epilepsy Patients
Project Name: EEGMine: A Distributed Framework for Learning
on EEG Data obtained from Epilepsy Patients
PI/Co-Pis: Haimonti Dutta, David Waltz, Catherine A Schevon
and Ronald Emerson
NSF Project ID: IIS-0916186
Award: $440,000 for 2 years
Dr. David Waltz and Dr. Valdimir Vapnik has been awarded a grant by the National Science Foundation to perform research in the area of "An Advanced Learning Paradigm: Learning Using Hidden Information". This project will be focusing on developing algorithms in the SVM family that allow extra information to be used effectively during training, with the understanding that this extra information will not be available during actual operation.