Milos Hauskrecht

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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Gregory CooperProfessor of Biomedical Informatics, University of Pittsburghpitt.edu üzerinde doğrulanmış e-posta adresine sahip
Iyad BatalResearch Scientist, Microsoftmicrosoft.com üzerinde doğrulanmış e-posta adresine sahip
Shyam VisweswaranProfessor of Biomedical Informatics, University of Pittsburghpitt.edu üzerinde doğrulanmış e-posta adresine sahip
Gilles ClermontProfessor of Critical Care Medicine, University of Pittsburghpitt.edu üzerinde doğrulanmış e-posta adresine sahip
Michal ValkoChief Models Officer @ Stealth Startup, Inria & MVA - Ex: Llama at Meta; Gemini and BYOL @ Deepmindmeta.com üzerinde doğrulanmış e-posta adresine sahip
Branislav KvetonAdobe Researchadobe.com üzerinde doğrulanmış e-posta adresine sahip
Zitao LiuJinan University, Guangzhou, Chinajnu.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Tomas SingliarMicrosoft (Azure ML). Formerly Amazon, Boeing Researchmicrosoft.com üzerinde doğrulanmış e-posta adresine sahip
Siqi LiuUniversity of Pittsburghcs.pitt.edu üzerinde doğrulanmış e-posta adresine sahip
Craig BoutilierPrincipal Scientist, Googlegoogle.com üzerinde doğrulanmış e-posta adresine sahip
Thomas DeanBrown Universitybrown.edu üzerinde doğrulanmış e-posta adresine sahip
Hamish FraserBrown Universitybrown.edu üzerinde doğrulanmış e-posta adresine sahip
Carlos GuestrinProfessor, Stanford Universitystanford.edu üzerinde doğrulanmış e-posta adresine sahip
Adam WrightProfessor of Biomedical Informatics, Vanderbilt University Medical Centervumc.org üzerinde doğrulanmış e-posta adresine sahip
Riccardo BellazziProfessor of Bioengineering and Medical Informatics, University of Paviaunipv.it üzerinde doğrulanmış e-posta adresine sahip
Eli UpfalComputer Science Professor, Brown Universitybrown.edu üzerinde doğrulanmış e-posta adresine sahip

Takip et

Milos Hauskrecht

Professor of Computer Science, University of Pittsburgh

pitt.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Machine Learning Clinical data analysis Time-series models Markov Decision Processes Outlier detection


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Obtaining well calibrated probabilities using bayesian binning MP Naeini, G Cooper, M Hauskrecht Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015	1689	2015
Value-function approximations for partially observable Markov decision processes M Hauskrecht Journal of Artificial Intelligence Research 13, 33-94, 2000	794	2000
Hierarchical solution of Markov decision processes using macro-actions M Hauskrecht, N Meuleau, LP Kaelbling, TL Dean, C Boutilier arXiv preprint arXiv:1301.7381, 2013	415	2013
Solving very large weakly coupled Markov decision processes N Meuleau, M Hauskrecht, KE Kim, L Peshkin, LP Kaelbling, TL Dean, ... AAAI/IAAI 8, 2, 1998	289	1998
Planning treatment of ischemic heart disease with partially observable Markov decision processes M Hauskrecht, H Fraser Artificial intelligence in medicine 18 (3), 221-244, 2000	239	2000
Mining recent temporal patterns for event detection in multivariate time series data I Batal, D Fradkin, J Harrison, F Moerchen, M Hauskrecht Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	230	2012
A temporal pattern mining approach for classifying electronic health record data I Batal, H Valizadegan, GF Cooper, M Hauskrecht ACM Transactions on Intelligent Systems and Technology (TIST) 4 (4), 1-22, 2013	188	2013
Outlier detection for patient monitoring and alerting M Hauskrecht, I Batal, M Valko, S Visweswaran, GF Cooper, G Clermont Journal of biomedical informatics 46 (1), 47-55, 2013	184	2013
Incremental methods for computing bounds in partially observable Markov decision processes M Hauskrecht AAAI/IAAI, 734-739, 1997	119	1997
Learning classification models with soft-label information Q Nguyen, H Valizadegan, M Hauskrecht Journal of the American Medical Informatics Association 21 (3), 501-508, 2014	105	2014
A pattern mining approach for classifying multivariate temporal data I Batal, H Valizadegan, GF Cooper, M Hauskrecht 2011 IEEE International Conference on Bioinformatics and Biomedicine, 358-365, 2011	100	2011
Solving factored MDPs with continuous and discrete variables C Guestrin, M Hauskrecht, B Kveton UAI 4, 235-242, 2004	97	2004
Planning and control in stochastic domains with imperfect information M Hauskrecht Massachusetts Institute of Technology, 1997	93	1997
Multivariate Time Series Classification with Temporal Abstractions. I Batal, L Sacchi, R Bellazzi, M Hauskrecht FLAIRS, 2009	88	2009
Noisy-or component analysis and its application to link analysis T Šingliar, M Hauskrecht The Journal of Machine Learning Research 7, 2189-2213, 2006	80	2006
Linear program approximations for factored continuous-state Markov decision processes M Hauskrecht, B Kveton Advances in Neural Information Processing Systems 16, 2003	77	2003
A supervised time series feature extraction technique using dct and dwt I Batal, M Hauskrecht 2009 international conference on machine learning and applications, 735-739, 2009	72	2009
Learning classification models from multiple experts H Valizadegan, Q Nguyen, M Hauskrecht Journal of biomedical informatics 46 (6), 1125-1135, 2013	71	2013
Solving factored MDPs with hybrid state and action variables B Kveton, M Hauskrecht, C Guestrin Journal of Artificial Intelligence Research 27, 153-201, 2006	71	2006
An efficient pattern mining approach for event detection in multivariate temporal data I Batal, GF Cooper, D Fradkin, J Harrison, F Moerchen, M Hauskrecht Knowledge and information systems 46, 115-150, 2016	68	2016

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