Pedro Domingos

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Matthew RichardsonMicrosoft ResearchEmail verificata su microsoft.com
Geoff HultenGoogleEmail verificata su google.com
Hoifung PoonGeneral Manager, Microsoft Health FuturesEmail verificata su microsoft.com
Daniel LowdAssociate Professor of Computer Science, University of OregonEmail verificata su cs.uoregon.edu
Parag SinglaIndian Institute of Technology DelhiEmail verificata su cse.iitd.ac.in
Alon HalevyGoogleEmail verificata su google.com
AnHai DoanProfessor of Computer Science, University of Wisconsin-MadisonEmail verificata su cs.wisc.edu
Daniel WeldAllen Institute for AI & University of WashingtonEmail verificata su cs.washington.edu
Stanley KokNational University of SingaporeEmail verificata su nus.edu.sg
Michael J. PazzaniDistinguished Principal ScientistEmail verificata su isi.edu
Aniruddh NathGoogle, LLCEmail verificata su google.com
Robert GensEmail verificata su cs.washington.edu
Vibhav GogateThe University of Texas at DallasEmail verificata su utdallas.edu
MausamProfessor of Computer Science & Engineering, Indian Institute of Technology DelhiEmail verificata su cs.washington.edu
Thomas DietterichDistinguished Professor (Emeritus), Computer Science, Oregon State UniversityEmail verificata su cs.orst.edu
Abram (Abe) FriesenSenior Research Scientist, DeepMindEmail verificata su cs.washington.edu
Steven WolfmanUniversity of British ColumbiaEmail verificata su cs.ubc.ca
Rakesh AgrawalData Insights LaboratoriesEmail verificata su datainsightslabs.com
Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa CruzEmail verificata su ucsc.edu
Jesse DavisProfessor, Department of Computer Science, KU LeuvenEmail verificata su cs.kuleuven.be

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Pedro Domingos

Professor of Computer Science and Engineering, University of Washington

Email verificata su cs.washington.edu - Home page

Machine Learning Artificial Intelligence Data Science


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
On the optimality of the simple Bayesian classifier under zero-one loss P Domingos, M Pazzani Machine learning 29 (2), 103-130, 1997	4703	1997
A few useful things to know about machine learning P Domingos Communications of the ACM 55 (10), 78-87, 2012	4499	2012
Markov logic networks M Richardson, P Domingos Machine learning 62, 107-136, 2006	3831	2006
Mining the network value of customers P Domingos, M Richardson Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	3679	2001
Mining high-speed data streams P Domingos, G Hulten Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000	3157	2000
Mining time-changing data streams G Hulten, L Spencer, P Domingos Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	2484	2001
Mining knowledge-sharing sites for viral marketing M Richardson, P Domingos Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	2256	2002
The master algorithm: How the quest for the ultimate learning machine will remake our world P Domingos Basic Books, 2015	2176	2015
Metacost: A general method for making classifiers cost-sensitive P Domingos Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	2171	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	1493	2002
Trust management for the semantic web M Richardson, R Agrawal, P Domingos International semantic Web conference, 351-368, 2003	1357	2003
Adversarial classification N Dalvi, P Domingos, Mausam, S Sanghai, D Verma Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	1345	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	1236	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	918	2011
Ontology matching: A machine learning approach AH Doan, J Madhavan, P Domingos, A Halevy Handbook on ontologies, 385-403, 2004	769	2004
Markov Logic P Domingos, D Lowd Markov Logic: An Interface Layer for Artificial Intelligence, 9-22, 2009	718	2009
Tree induction for probability-based ranking F Provost, P Domingos Machine learning 52, 199-215, 2003	709	2003
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
The role of Occam's razor in knowledge discovery P Domingos Data mining and knowledge discovery 3, 409-425, 1999	687	1999

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