Equbits.com
Title
Equbits - Accurate, Interpretable, Automated Support Vector Machine
Description
Equbits is a predictive modeling software company that provides the most accurate predictive modeling tools available in an automated and interpretable manner, giving people and organizations the results they need.
Doctor Hastie was formerly a member of the Statistics and Data Analysis Research Group. He is associate Editor of Journal of Data Mining and Knowledge Discovery (since 1995) and was an associate Editor of the Journal of Annals of Statistics (1994 - 2001). In 1998 he was elected to become a Fellow of the American Statistical Association. He has published numerous papers in the areas of nonparametric regression and classification. He has authored three books which are: Generalized Additive Models (1990), Statistical Models in S (1991) and The Elements of Statistical Learning: Prediction, Inference and Data Mining (2001).
As an Associate Professor Dr. Bennett is an active member of the machine learning, data mining, and operations research communities serving as past and/or present associate editor for IEEE Transactions on Neural Networks, SIAM Journal on Optimization, Naval Research Logistics, and Machine Learning Journal., and as a program committee member for AAAI, Machine Learning, SIGKDD Knowledge Discovery and Data Mining, IEEE Data Mining, Computational Learning Theory, International Conference on Continuous Optimization, and SIAM Data Mining Conferences. She has a Ph.D. and M.S. in Computer Sciences from University of Wisconsin-Madison, and a B.S. in mathematics and computer science from University of Puget Sound. She has been working in support vector machines and closely-related mathematical-programming approaches to learning since 1989.
Contact
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- Livermore CA
- United States 94550
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- +1.510-823-4874
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