☰ Robotree

Andrew W. Moore, PhD

Affiliations:

Computer Science

Carnegie Mellon University, Pittsburgh, PA

Area:

robotics

Website:

http://www.cs.cmu.edu/~awm/biography.html

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Parents

William Clocksin	grad student	1986-1990	Cambridge
Christopher G. Atkeson	post-doc	1990-1993	MIT (LinguisTree)

Children

Andrew Y. Ng	research assistant		Carnegie Mellon (Neurotree)
Andrew Ng	research assistant		Carnegie Mellon (Computer Science Tree)
Paul Komarek	grad student	2004	Carnegie Mellon
Dan Pelleg	grad student	2004	Carnegie Mellon
Weng-Keen Wong	grad student	2004	Carnegie Mellon
Jeremy Kubica	grad student	2005	Carnegie Mellon
Daniel B. Neill	grad student	2006	Carnegie Mellon
Anna Goldenberg	grad student	2007	Carnegie Mellon
Purnamrita Sarkar	grad student	2010	Carnegie Mellon

Collaborators

BETA: Related publications

Publications

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Dubrawski AW, Ostlund JK, Chen L, et al. (2010) Computationally efficient scoring of activity using demographics and connectivity of entities Information Technology & Management. 11: 77-89
Kubica J, Denneau L, Grav T, et al. (2007) Efficient intra- and inter-night linking of asteroid detections using kd-trees Icarus. 189: 151-168
Buckeridge DL, Burkom H, Campbell M, et al. (2005) Algorithms for rapid outbreak detection: a research synthesis. Journal of Biomedical Informatics. 38: 99-113
Sarkar P, Moore AW. (2005) Dynamic social network analysis using latent space models Sigkdd Explorations. 7: 31-40
Kubica J, Moore A, Connolly A, et al. (2005) Efficiently identifying close track/observation pairs in continuous timed data Proceedings of Spie. 5913: 242-253
Wong WK, Moore A, Cooper G, et al. (2003) WSARE: What's Strange About Recent Events? Journal of Urban Health : Bulletin of the New York Academy of Medicine. 80: i66-75
Tsui FC, Espino JU, Wagner MM, et al. (2002) Data, network, and application: technical description of the Utah RODS Winter Olympic Biosurveillance System. Proceedings / Amia ... Annual Symposium. Amia Symposium. 815-9
Boyan J, Moore AW. (2001) Learning evaluation functions to improve optimization by local search Journal of Machine Learning Research. 1: 77-112
Miller CJ, Genovese C, Nichol RC, et al. (2001) Controlling the False-Discovery Rate in Astrophysical Data Analysis The Astronomical Journal. 122: 3492-3505
Moore A, Lee MS. (1998) Cached sufficient statistics for efficient machine learning with large datasets Journal of Artificial Intelligence Research. 8: 67-91

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