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Here is a list of the publications that were facilitated by
VFML. If you've used VFML we'd love to add your paper here, please let
us know at vfml@cs.washington.edu.
Conference Publications
Learning Bayesian Network Classifiers by Maximizing
Conditional Likelihood
[PDF]
Dan Grossman and Pedro Domingos. Proceedings of the
Twenty-First International Conference on Machine Learning
(pp. 361-368), 2004. Banff, Canada: ACM Press.
Mining Complex Models from Arbitrarily Large Databases in Constant Time
[PS]
[PDF]
Geoff Hulten and Pedro Domingos. In Proc. 8th ACM SIGKDD
International Conference on Knowledge Discovery and Data
Mining, 2002. Edmonton Canada, 2002.
Learning from Infinite Data in Finite Time
[PS]
[PDF]
Pedro Domingos and Geoff Hulten. Advances in Neural Information
Processing Systems (NIPS) 14, 2002. Cambridge, MA: MIT Press.
Geoff Hulten, Laurie Spencer and Pedro Domingos. In Proc. 7th ACM
SIGKDD International Conference on Knowledge Discovery and Data
Mining (pp. 97-106), 2001. San Francisco, CA: ACM Press.
A General Method for Scaling Up Machine Learning Algorithms
and its Application to Clustering
[PS]
[PDF]
Pedro Domingos and Geoff Hulten. In Proc. 18th International
Conference on Machine Learning (ICML) (pp. 106-113),
2001. Williamstown, MA: Morgan Kaufmann.
Pedro Domingos and Geoff Hulten. In Proc. of the 6th ACM SIGKDD
International Conference on Knowledge Discovery and Data
Mining (pp. 71-80), 2000. Boston, MA: ACM Press.
Geoff Hulten, Pedro Domingos and Yeuhi Abe. In Proc. of
18th International Join Conference on AI -- Workshop on Learning
Statistical Models from Relational Data, 2003. Acapulco,
Mexico.