A framework for learning predictive structures from multiple tasks and unlabeled data
- Rie Kubota Ando
- Tong Zhang
- 2005
- JMLR
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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56 results for Tong Zhang
Learning bounds for kernel regression using effective data dimensionality
- Tong Zhang
- 2005
- Neural Computation
Statistical analysis of some multi-category large margin classification methods
- Tong Zhang
- 2004
- JMLR
Text categorization for a comprehensive time-dependent benchmark
- Fred J. Damerau
- Tong Zhang
- et al.
- 2004
- Inf. Process. Manage.
Leave-one-out bounds for kernel methods
- Tong Zhang
- 2003
- Neural Computation
Covering Number Bounds of Certain Regularized Linear Function Classes
- Tong Zhang
- 2002
- JMLR
Text Chunking based on a Generalization of Winnow
- Tong Zhang
- Fred Damerau
- et al.
- 2002
- JMLR
Recommender Systems Using Linear Classifiers
- Tong Zhang
- Vijay S. Iyengar
- 2002
- JMLR
Approximation bounds for some sparse kernel regression algorithms
- Tong Zhang
- 2002
- Neural Computation
A decision-tree-based symbolic rule induction system for text categorization
- David E. Johnson
- Frank J. Oles
- et al.
- 2002
- IBM Systems Journal