Resultado de búsqueda
Professor Lafferty's research area is machine learning, including computational and statistical aspects of learning algorithms and high-dimensional data, modeling human language, and a recent focus on applications in neuroscience.
The Yale Statistical Machine Learning Group carries out research and training in machine learning with an emphasis on statistical analysis and principles. The group is directed by Prof. John Lafferty in the Department of Statistics and Data Science within the Faculty of Arts and Sciences at Yale.
2001. Semi-supervised learning using gaussian fields and harmonic functions. X Zhu, Z Ghahramani, JD Lafferty. Proceedings of the 20th International conference on Machine learning (ICML …. , 2003. 5663 *. 2003. Proceedings of the 31st International Conference on Neural Information Processing Systems.
John D. Lafferty is an American scientist, Professor at Yale University and leading researcher in machine learning. He is best known for proposing the Conditional Random Fields with Andrew McCallum and Fernando C.N. Pereira.
He began his career in machine learning at the IBM Thomas J. Watson Research Center in Yorktown Heights, building computational models of human language. Lafferty's WTI service is focused on building a thriving Yale community at the interface of neuroscience and computational modeling.
Publications. Model Repair: Robust recovery of over-paramaterized statistical models Chao Gao and John Lafferty arXiv:2005.09912. Surfing: Iterative optimization over incrementally trained deep networks Ganlin Song, Fan Zhou, and John Lafferty Advances in Neural Information Processing Systems 32 ,2019.
John Lafferty. John C. Malone Professor of Statistics & Data Science. Kline Tower, Room 1221, 219 Prospect Street, New Haven, CT 06511. john.lafferty@yale.edu. Phone: +1 (203) 432-5216. Website. Department of Statistics and Data Science.
