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Denver Dash
Denver Dash
Amazon Robotics AI
Bestätigte E-Mail-Adresse bei amazon.com
Titel
Zitiert von
Zitiert von
Jahr
A hybrid anytime algorithm for the constructiion of causal models from sparse data
D Dash, MJ Druzdzel
arXiv preprint arXiv:1301.6689, 2013
1432013
Bayesian biosurveillance of disease outbreaks
GF Cooper, D Dash, J Levander, WK Wong, W Hogan, M Wagner
arXiv preprint arXiv:1207.4122, 2012
1182012
Model averaging for prediction with discrete Bayesian networks
D Dash, GF Cooper
Journal of Machine Learning Research 5 (Sep), 1177-1203, 2004
942004
When gossip is good: Distributed probabilistic inference for detection of slow network intrusions
D Dash, B Kveton, JM Agosta, E Schooler, J Chandrashekar, A Bachrach, ...
AAAI, 1115-1122, 2006
932006
Robust Independence Testing for Constraint-Based Learning of Causal Structure.
D Dash, MJ Druzdzel
UAI 3, 167-174, 2003
812003
Non-Boolean associative architectures based on nano-oscillators
SP Levitan, Y Fang, DH Dash, T Shibata, DE Nikonov, GI Bourianoff
2012 13th International Workshop on Cellular Nanoscale Networks and their …, 2012
692012
Exact model averaging with naive Bayesian classifiers
D Dash, GF Cooper
ICML, 91-98, 2002
572002
Restructuring dynamic causal systems in equilibrium
D Dash
International Workshop on Artificial Intelligence and Statistics, 81-88, 2005
502005
A distributed host-based worm detection system
SG Cheetancheri, JM Agosta, DH Dash, KN Levitt, J Rowe, EM Schooler
Proceedings of the 2006 SIGCOMM workshop on Large-scale attack defense, 107-113, 2006
492006
A method for evaluating elicitation schemes for probabilistic models
H Wang, D Dash, MJ Druzdzel
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 32 …, 2002
422002
Caveats for causal reasoning with equilibrium models
D Dash, M Druzdzel
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2001
422001
Evaluation of Bayesian network models for decision support
KW Przytula, D Dash
US Patent 7,650,272, 2010
412010
Learning why things change: the difference-based causality learner
M Voortman, D Dash, MJ Druzdzel
arXiv preprint arXiv:1203.3525, 2012
382012
Evaluation of Bayesian networks used for diagnostics
KW Przytula, D Dash, D Thompson
2003 IEEE Aerospace Conference Proceedings (Cat. No. 03TH8652) 7, 3177-3187, 2003
372003
Scenecad: Predicting object alignments and layouts in rgb-d scans
A Avetisyan, T Khanova, C Choy, D Dash, A Dai, M Nießner
European Conference on Computer Vision, 596-612, 2020
282020
Machine learning algorithms for event detection
D Margineantu, WK Wong, D Dash
Machine Learning 79 (3), 257, 2010
232010
Use of multiple data streams to conduct Bayesian biologic surveillance
WK Wong, G Cooper, D Dash, J Levander, J Dowling, W Hogan, ...
MMWR Morb Mortal Wkly Rep 54 (suppl), 63-69, 2005
222005
A note on the correctness of the causal ordering algorithm
D Dash, MJ Druzdzel
Artificial Intelligence 172 (15), 1800-1808, 2008
192008
Systems and methods for mapping
MC Falconer, D Choudhury, R Arefi, DJ Dahle, DH Dash, VS Somayazulu, ...
US Patent 10,026,001, 2018
182018
Non-Boolean associative processing: Circuits, system architecture, and algorithms
Y Fang, CN Gnegy, T Shibata, D Dash, DM Chiarulli, SP Levitan
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 1 …, 2015
182015
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