Searching for authors named "Wenxin Jiang" – sorted by Relevance.
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The VC Dimension for Mixtures of Binary Classifiers
- Manuscript Number: 1940 The VC Dimension for Mixtures of Binary Classifiers Wenxin Jiang
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Group Sequential Procedures for Poisson Process Data with Frailty
- Group Sequential Procedures for Poisson Process Data with Frailty Wenxin Jiang Department
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Some Theoretical Aspects of Boosting in the Presence of Noisy Data
- Some Theoretical Aspects of Boosting in the Presence of Noisy Data Wenxin Jiang wjiang
- Cited by 15 (0 self) – Add To MetaCart
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Does Boosting Overfit: Views From an Exact Solution
- Does Boosting Overfit: Views From an Exact Solution Wenxin Jiang Department of Statistics
- Cited by 8 (0 self) – Add To MetaCart
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Is Regularization Unnecessary for Boosting?
- Is Regularization Unnecessary for Boosting? Wenxin Jiang Department of Statistics, Northwestern
- Cited by 5 (0 self) – Add To MetaCart
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On weak base hypotheses and their implications for boosting regression and classification
- AND THEIR IMPLICATIONS FOR BOOSTING REGRESSION AND CLASSIFICATION BY WENXIN JIANG 1 Northwestern University When studying
- Cited by 6 (2 self) – Add To MetaCart
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On Weak Base Learners for Boosting Regression and Classification
- On Weak Base Learners for Boosting Regression and Classification Wenxin Jiang Department
- Cited by 1 (1 self) – Add To MetaCart
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Large Time Behavior Of Boosting Algorithms For Regression And Classification
- LARGE TIME BEHAVIOR OF BOOSTING ALGORITHMS FOR REGRESSION AND CLASSIFICATION By Wenxin Jiang
- Cited by 3 (3 self) – Add To MetaCart
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Process Consistency for AdaBoost
- PROCESS CONSISTENCY FOR ADABOOST By Wenxin Jiang Department of Statistics, Northwestern
- Cited by 28 (1 self) – Add To MetaCart
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Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification
- for Boosting Regression and Classification Wenxin Jiang Northwestern University, Evanston, IL 60208, USA
- Cited by 4 (1 self) – Add To MetaCart

