I am a second year CS PhD student in
Daphne Koller's research
group.
research:
I am interested in machine learning, computational biology, applications
to
neurological data, and information retrieval. Daphne Koller's group
focuses on probabilistic graphical models.
publications:
fMRI
Alexis Battle, Gal Chechik, Daphne Koller. Temporal and
Cross-Subject Probabilistic Models for fMRI Prediction Tasks.NIPS 19, 2006.
Computation Biology:
Alexis Battle, Eran Segal, Daphne Koller. Probabilistic Discovery
of Overlapping Cellular Processes and Their Regulation Journal of
Computational Biology. Sep 2005, Vol. 12, No. 7: 909-927
Alexis Battle, Eran Segal, Daphne Koller. Probabilistic discovery of overlapping cellular processes and their regulation. RECOMB 2004
Eran Segal, Alexis Battle, Daphne Koller. Decomposing Gene Expression into Cellular Processes. Pacific Symposium on Biocomputing 2003
Machine Learning:
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer, Andrew
Ng. Self-taught learning: Transfer learning from unlabeled
data. In Proceedings of the Twenty-fourth International
Conference on Machine Learning, 2007.
Honglak Lee, Alexis Battle, Rajat Raina, Andrew Ng. Efficient
sparse coding algorithms. In NIPS 19, 2006.
Dialogue Systems:
Oliver Lemon, Alexander Gruenstein, Alexis Battle, Elizabeth
Bratt,
and
Stanley Peters. Multi-tasking in Practical Multi-modal Dialogue
Systems in proceedings of Association for Computational Linguistics
(ACL), 2002
