Moises Goldszmidt
Moises Goldszmidt
Distinguished Engineer at Apple
Verified email at
Cited by
Cited by
Bayesian network classifiers
N Friedman, D Geiger, M Goldszmidt
Machine learning 29, 131-163, 1997
Context-specific independence in Bayesian networks
C Boutilier, N Friedman, M Goldszmidt, D Koller
arXiv preprint arXiv:1302.3562, 2013
Learning Bayesian networks with local structure
N Friedman, M Goldszmidt
Learning in graphical models, 421-459, 1998
Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control.
I Cohen, JS Chase, M Goldszmidt, T Kelly, J Symons
OSDI 4, 16-16, 2004
Stochastic dynamic programming with factored representations
C Boutilier, R Dearden, M Goldszmidt
Artificial intelligence 121 (1-2), 49-107, 2000
Exploiting structure in policy construction
C Boutilier, R Dearden, M Goldszmidt
IJCAI 14, 1104-1113, 1995
Data analysis with Bayesian networks: A bootstrap approach
N Friedman, M Goldszmidt, A Wyner
arXiv preprint arXiv:1301.6695, 2013
Qualitative probabilities for default reasoning, belief revision, and causal modeling
M Goldszmidt, J Pearl
Artificial Intelligence 84 (1-2), 57-112, 1996
Capturing, indexing, clustering, and retrieving system history
I Cohen, S Zhang, M Goldszmidt, J Symons, T Kelly, A Fox
ACM SIGOPS Operating Systems Review 39 (5), 105-118, 2005
Building classifiers using Bayesian networks
N Friedman, M Goldszmidt
Proceedings of the national conference on artificial intelligence, 1277-1284, 1996
Discretizing continuous attributes while learning Bayesian networks
N Friedman, M Goldszmidt
ICML, 157-165, 1996
Fingerprinting the datacenter: automated classification of performance crises
P Bodik, M Goldszmidt, A Fox, DB Woodard, H Andersen
Proceedings of the 5th European conference on Computer systems, 111-124, 2010
Rank-based systems: A simple approach to belief revision, belief update, and reasoning about evidence and actions.
M Goldszmidt, J Pearl
KR 92, 661-672, 1992
How dynamic are IP addresses?
Y Xie, F Yu, K Achan, E Gillum, M Goldszmidt, T Wobber
Proceedings of the 2007 conference on Applications, technologies …, 2007
A maximum entropy approach to nonmonotonic reasoning
M Goldszmidt, P Morris, J Pearl
IEEE Transactions on Pattern Analysis and Machine Intelligence 15 (3), 220-232, 1993
Sequential auctions for the allocation of resources with complementarities
C Boutilier, M Goldszmidt, B Sabata
IJCAI 99, 527-523, 1999
Ensembles of models for automated diagnosis of system performance problems
S Zhang, I Cohen, M Goldszmidt, J Symons, A Fox
2005 International Conference on Dependable Systems and Networks (DSN'05 …, 2005
Sequential update of Bayesian network structure
N Friedman, M Goldszmidt
arXiv preprint arXiv:1302.1538, 2013
Predicting travel time reliability using mobile phone GPS data
D Woodard, G Nogin, P Koch, D Racz, M Goldszmidt, E Horvitz
Transportation Research Part C: Emerging Technologies 75, 30-44, 2017
Properties and benefits of calibrated classifiers
I Cohen, M Goldszmidt
European conference on principles of data mining and knowledge discovery …, 2004
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