Pedro Domingos

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Matthew RichardsonMicrosoft ResearchVerifierad e-postadress på microsoft.com
Geoff HultenGoogleVerifierad e-postadress på google.com
Hoifung PoonGeneral Manager, Microsoft Health FuturesVerifierad e-postadress på microsoft.com
Daniel LowdAssociate Professor of Computer Science, University of OregonVerifierad e-postadress på cs.uoregon.edu
Parag SinglaIndian Institute of Technology DelhiVerifierad e-postadress på cse.iitd.ac.in
Alon HalevyGoogleVerifierad e-postadress på google.com
AnHai DoanProfessor of Computer Science, University of Wisconsin-MadisonVerifierad e-postadress på cs.wisc.edu
Daniel WeldAllen Institute for AI & University of WashingtonVerifierad e-postadress på cs.washington.edu
Stanley KokNational University of SingaporeVerifierad e-postadress på nus.edu.sg
Michael J. PazzaniDistinguished Principal ScientistVerifierad e-postadress på isi.edu
Aniruddh NathGoogle, LLCVerifierad e-postadress på google.com
Robert GensVerifierad e-postadress på cs.washington.edu
Vibhav GogateThe University of Texas at DallasVerifierad e-postadress på utdallas.edu
MausamProfessor of Computer Science & Engineering, Indian Institute of Technology DelhiVerifierad e-postadress på cs.washington.edu
Thomas DietterichDistinguished Professor (Emeritus), Computer Science, Oregon State UniversityVerifierad e-postadress på cs.orst.edu
Abram (Abe) FriesenSenior Research Scientist, DeepMindVerifierad e-postadress på cs.washington.edu
Steven WolfmanUniversity of British ColumbiaVerifierad e-postadress på cs.ubc.ca
Rakesh AgrawalData Insights LaboratoriesVerifierad e-postadress på datainsightslabs.com
Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa CruzVerifierad e-postadress på ucsc.edu
Jesse DavisProfessor, Department of Computer Science, KU LeuvenVerifierad e-postadress på cs.kuleuven.be

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Pedro Domingos

Professor of Computer Science and Engineering, University of Washington

Verifierad e-postadress på cs.washington.edu - Startsida

Machine Learning Artificial Intelligence Data Science


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
On the optimality of the simple Bayesian classifier under zero-one loss P Domingos, M Pazzani Machine learning 29 (2), 103-130, 1997	4740	1997
A few useful things to know about machine learning P Domingos Communications of the ACM 55 (10), 78-87, 2012	4625	2012
Markov logic networks M Richardson, P Domingos Machine learning 62, 107-136, 2006	3853	2006
Mining the network value of customers P Domingos, M Richardson Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	3714	2001
Mining high-speed data streams P Domingos, G Hulten Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000	3187	2000
Mining time-changing data streams G Hulten, L Spencer, P Domingos Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	2499	2001
Mining knowledge-sharing sites for viral marketing M Richardson, P Domingos Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	2269	2002
The master algorithm: How the quest for the ultimate learning machine will remake our world P Domingos Basic Books, 2015	2264	2015
Metacost: A general method for making classifiers cost-sensitive P Domingos Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	2184	1999
Learning to map between ontologies on the semantic web AH Doan, J Madhavan, P Domingos, A Halevy Proceedings of the 11th international conference on World Wide Web, 662-673, 2002	1495	2002
Trust management for the semantic web M Richardson, R Agrawal, P Domingos International semantic Web conference, 351-368, 2003	1366	2003
Adversarial classification N Dalvi, P Domingos, Mausam, S Sanghai, D Verma Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	1362	2004
Beyond independence: Conditions for the optimality of the simple bayesian classifier P Domingos, M Pazzani Proc. 13th Intl. Conf. Machine Learning, 105-112, 1996	1240	1996
Reconciling schemas of disparate data sources: A machine-learning approach AH Doan, P Domingos, AY Halevy Proceedings of the 2001 ACM SIGMOD international conference on Management of …, 2001	1189	2001
Sum-product networks: A new deep architecture H Poon, P Domingos Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial …, 2011	932	2011
Ontology matching: A machine learning approach AH Doan, J Madhavan, P Domingos, A Halevy Handbook on ontologies, 385-403, 2004	772	2004
Markov Logic P Domingos, D Lowd Markov Logic: An Interface Layer for Artificial Intelligence, 9-22, 2009	724	2009
Tree induction for probability-based ranking F Provost, P Domingos Machine learning 52, 199-215, 2003	716	2003
The role of Occam's razor in knowledge discovery P Domingos Data mining and knowledge discovery 3, 409-425, 1999	704	1999
Learning to match ontologies on the semantic web AH Doan, J Madhavan, R Dhamankar, P Domingos, A Halevy The VLDB journal 12, 303-319, 2003	702	2003

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