Mark Schwabacher
Mark Schwabacher
Technical Program Manager, Google
Потвърден имейл адрес: schwabacher.com - Начална страница
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
SD Bay, M Schwabacher
Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003
Metrics for evaluating performance of prognostic techniques
A Saxena, J Celaya, E Balaban, K Goebel, B Saha, S Saha, ...
2008 international conference on prognostics and health management, 1-17, 2008
A Survey of Artificial Intelligence for Prognostics.
M Schwabacher, K Goebel
AAAI fall symposium: artificial intelligence for prognostics, 108-115, 2007
A survey of data-driven prognostics
M Schwabacher
Infotech@ Aerospace, 7002, 2005
General purpose data-driven monitoring for space operations
DL Iverson, R Martin, M Schwabacher, L Spirkovska, W Taylor, R Mackey, ...
Journal of Aerospace Computing, Information, and Communication 9 (2), 26-44, 2012
Unsupervised anomaly detection for liquid-fueled rocket propulsion health monitoring
M Schwabacher, N Oza, B Matthews
Journal of aerospace computing, information, and communication 6 (7), 464-482, 2009
High-performance supersonic missile inlet design using automated optimization
GC Zha, D Smith, M Schwabacher, K Rasheed, A Gelsey, D Knight, ...
Journal of Aircraft 34 (6), 697-705, 1997
Using modeling knowledge to guide design space search
A Gelsey, M Schwabacher, D Smith
Artificial Intelligence 101 (1-2), 35-62, 1998
NASA integrated vehicle health management technology experiment for X-37
M Schwabacher, J Samuels, L Brownston
Component and Systems Diagnostics, Prognostics, and Health Management II …, 2002
Learning to set up numerical optimizations of engineering designs
M Schwabacher, T Ellman, H Hirsh
AI EDAM 12 (2), 173-192, 1998
Machine learning for rocket propulsion health monitoring
M Schwabacher
SAE transactions, 1192-1197, 2005
Automated design optimization for the P2 and P8 hypersonic inlets
V Shukla, A Gelsey, M Schwabacher, D Smith, DD Knight
Journal of Aircraft 34 (2), 1997
Intelligent model selection for hillclimbing search in computer-aided design
T Ellman, J Keane, M Schwabacher, ...
Department of Computer Science, Rutgers University, 1992
Comparison of Unsupervised Anomaly Detection Methods for Systems Health Management Using Space Shuttle
RA Martin, M Schwabacher, N Oza, A Srivastava
Main Engine Data,” Proceedings of the Joint Army Navy NASA Air Force …, 2007
A search space toolkit: SST
A Gelsey, D Smith, M Schwabacher, K Rasheed, K Miyake
Decision Support Systems 18 (3-4), 341-356, 1996
The rutgers cap project design associate
T Ellman, J Keane, M Schwabacher
Rutgers University, 1992
Pre-launch diagnostics for launch vehicles
M Schwabacher, R Waterman
2008 ieee aerospace conference, 1-8, 2008
Automated redesign of the NASA P8 hypersonic inlet using numerical optimization
V Shukla, A Gelsey, M Schwabacher, D Smith, DD Knight
32nd Joint Propulsion Conference, 1996
A Transformation System for Interactive Reformulation of Design Optimization Strategies
T Ellman, J Keane, T Murata, M Schwabacher
Proceedings of the Tenth Knowledge-Based Software Engineering Conference, 1995
Discovering communicable scientific knowledge from spatio-temporal data
M Schwabacher, P Langley, P Norvig
International Conference on Machine Learning, 2001
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