Foster Provost
Foster Provost is a person.
References
- Professional Homepage: http://people.stern.nyu.edu/fprovost/
- DBLP Author Page: http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/p/Provost:Foster_J=.html
- Google Scholar Author Page: http://scholar.google.com/citations?user=-Km63D4AAAAJ
- http://www.gabormelli.com/RKB/Special:SearchByProperty/author/Foster-20Provost
2014
- (Perlich et al., 2014) ⇒ Claudia Perlich, Brian Dalessandro, Troy Raeder, Ori Stitelman, and Foster Provost. (2014). “Machine Learning for Targeted Display Advertising: Transfer Learning in Action.” Machine learning 95, no. 1
2013
- (Provost & Fawcett, 2013) ⇒ Foster Provost, and Tom Fawcett. (2013). “Data Science for Business: What You Need to Know About Data Mining and Data-analytic Thinking." O'Reilly Media. ISBN:1449374298
2010
- (Attenberg et al., 2010) ⇒ Josh Attenberg, and Foster Provost. (2010). “Why Label When You Can Search?: Alternatives to Active Learning for Applying Human Resources to Build Classification Models under Extreme Class Imbalance.” In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2010). doi:10.1145/1835804.1835859
- (Ipeirotis et al., 2010) ⇒ Panagiotis G. Ipeirotis, Foster Provost, and Jing Wang. (2010). “Quality Management on Amazon Mechanical Turk.” In: Proceedings of the ACM SIGKDD workshop on human computation.
2009
- (Provost et al., 2009) ⇒ Foster Provost, Alan Murray, Brian Dalessandro, Rod Hook, Xiaohan Zhang. (2009). “Audience Selection for On-line Brand Advertising: Privacy-friendly Social Network Targeting.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557098
2007
- (Macskassy & Provost, 2007) ⇒ Sofus Macskassy, and Foster Provost. (2007). “Classification in Networked Data: A toolkit and a univariate case study.” In: Journal Machine Learning, 8.
2005
- (Macskassy & Provost, 2005) ⇒ Sofus Macskassy, and Foster Provost. (2005). “NetKit-SRL: A Toolkit for Network Learning and Inference and its use for classification of networked data.” In: ProceedingsAnn. Conference North Am. Assoc. Computational Social and Organizational Science (NAACSOS)
2003
- (Perlich & Provost, 2003) ⇒ Claudia Perlich, and Foster Provost. (2003). “Aggregation-based Feature Invention and Relational Concept Classes.” In: Proceedings of the ninth ACM SIGKDD International Conference on Knowledge discovery and data mining. ISBN:1-58113-737-0 doi:10.1145/956750.956772
2001
- (Provost & Fawcett, 2001) ⇒ Foster Provost, and Tom Fawcett. (2001). “Robust Classification for Imprecise Environments.” In: Machine Learning, 42(3). doi:10.1023/A:1007601015854
1999
- (Provost et al., 1999) ⇒ Foster Provost, David Jensen, and Tim Oates. “Efficient Progressive Sampling.” In: Proceedings of the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-1999).
- (Fawcett et al., 1999) ⇒ Tom Fawcett, and Foster Provost. (1999). “Activity Monitoring: Noticing Interesting Changes in Behavior.” In: Proceedings of the fifth ACM SIGKDD International Conference on Knowledge discovery and data mining, pp. 53-62. ACM,
1998
- (Kohavi & Provost, 1998) ⇒ Ron Kohavi, and Foster Provost. (1998). “Glossary of Terms.” In: Editorial for the Special Issue on Applications of Machine Learning and the Knowledge Discovery Process, Machine Leanring 30(2-3).
- (Provost & Fawcett, 1998) ⇒ Foster Provost, and Tom Fawcett. (1998). “Robust Classification Systems for Imprecise Environments.” In: Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI 1998).
- (Provost et al., 1998) ⇒ Foster Provost, Tom Fawcett, and Ron Kohavi. (1998). “The Case Against Accuracy Estimation for Comparing Induction Algorithms.” In: Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998).
1997
- (Fawcett & Provost, 1997) ⇒ Tom Fawcett, and Foster J. Provost. (1997). “Adaptive Fraud Detection.” In: Data Mining and Knowledge Discovery, 1(3).
- (Provost & Fawcett, 1997) ⇒ Foster J. Provost, and Tom Fawcett. (1997). “Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions.” In: Proceedings of KDD-1997.
1996
- (Fawcett et al., 1996) ⇒ Tom Fawcett, and Foster J. Provost. (1996). “Combining Data Mining and Machine Learning for Effective User Profiling.” In: KDD.