Avrim Blum
Jump to navigation
Jump to search
Avrim Blum is a person.
- See: Co-Training Learning Algorithm, Feature Selection Algorithm, Graph Mining Algorithm, Correlation Clustering.
References
- Professional Homepage: http://www.cs.cmu.edu/~avrim/
- DBLP Page: http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/b/Blum:Avrim.html
- Google Scholar Author Page: https://scholar.google.com/citations?user=Jlv4MR4AAAAJ
2008
- (Balcan et al., 2008) ⇒ Maria-Florina Balcan, Avrim Blum, and Nathan Srebro. (2008). “Improved Guarantees for Learning via Similarity Functions.” Computer Science Department
2007
- (Blum & Monsour, 2007) ⇒ Avrim Blum, and Yishay Monsour. (2007). “Learning, Regret Minimization, and Equilibria.”
2004
- (Blum et al., 2004) ⇒ Avrim Blum, John D. Lafferty, Mugizi Robert Rwebangira, and Rajashekar Reddy. (2004). “Semi-Supervised Learning Using Randomized Mincuts.” In: Proceedings of ICML Conference (ICML 2004). doi:10.1145/1015330.1015429
- (Bansal et al., 2004) ⇒ Nikhil Bansal, Avrim Blum, and Shuchi Chawla. (2004). “Correlation Clustering.” Machine Learning 56, no. 1-3
2002
- (Bansal, 2002) ⇒ Nikhil Bansal, Avrim Blum, Shuchi Chawla. (2002). “Correlation Clustering.” In: Proceedings of the 43rd Symposium on Foundations of Computer Science.
2001
- (Blum & Chawla, 2001) ⇒ Avrim Blum, and Shuchi Chawla. (2001). “Learning from Labeled and Unlabeled Data using Graph Mincuts.” In: Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001)
1998
- (Blum & Mitchell, 1998) ⇒ Avrim Blum, and Tom M. Mitchell. (1998). “Combining Labeled and Unlabeled Data with Co-training.” In: Proceedings of COLT 1998 Conference. doi:10.1145/279943.279962.
1997
- (Blum & Langley, 1997) ⇒ Avrim L. Blum, and Pat Langley. (1998). “Selection of Relevant Features and Examples in Machine Learning.” In: Artificial Intelligence, 97(1-2). doi:10.1016/S0004-3702(97)00063-5
1995
- (Blum & Furst, 1995) ⇒ Avrim L. Blum, and Merrick L. Furst. (1995). “Fast Planning Through Planning Graph Analysis.” In: Proceedings of the 14th International Joint Conference on AI (IJCAI 1995). doi:10.1016/S0004-3702(96)00047-1