A probabilistic framework for SVM regression and error bar estimation
- J.B. Gao
- S.R. Gunn
- et al.
- 2002
- Machine Learning
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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29 results at Machine Learning
Efficient construction of regression trees with range and region splitting
- Yasuhiko Morimoto
- Hiromu Ishii
- et al.
- 2001
- Machine Learning
Iterated phantom induction: A knowledge-based approach to learning control
- Mark Brodie
- Gerald Dejong
- 2001
- Machine Learning
Concept decompositions for large sparse text data using clustering
- Inderjit S. Dhillon
- Dharmendra S. Modha
- 2001
- Machine Learning
Estimation of time-varying parameters in statistical models: An optimization approach
- Dimitris Bertsimas
- David Gamarnik
- et al.
- 1999
- Machine Learning
Learning to parse natural language with maximum entropy models
- Adwait Ratnaparkhi
- 1999
- Machine Learning
Comments on "Co-evolution in the successful learning of backgammon strategy"
- Gerald Tesauro
- 1998
- Machine Learning
Prequential and Cross-Validated Regression Estimation
- Dharmendra S. Modha
- Elias Masry
- 1998
- Machine Learning
Practical Issues in Temporal Difference Learning
- Gerald Tesauro
- 1992
- Machine Learning