Searching for authors named "Yaoyong Li" – sorted by Relevance.
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Perceptron-like learning for ontology based information extraction
- Li University of Sheffield 211 Portobello Street Sheffield, S1 4DP, UK yaoyong@(email omitted); Recent
- Cited by 3 (1 self) – Add To MetaCart
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Using kcca for japanese-english cross-language information retrieval and classification
- Yaoyong Li ∗ and John Shawe-Taylor † Abstract Kernel Canonical Correlation Analysis (KCCA) is a method
- Cited by 3 (1 self) – Add To MetaCart
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The SVM with uneven margins and Chinese document categorization
- The SVM With Uneven Margins And Chinese Document Categorisation Yaoyong Li John Shawe
- Cited by 7 (4 self) – Add To MetaCart
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Adapting Support Vector Machines for F-term-based Classification of Patents
- Adapting Support Vector Machines for F-term-based Classification of Patents Yaoyong Li Kalina
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Abstract
- The SVM With Uneven Margins And Chinese Document Categorisation Yaoyong Li Department of Computer
- Cited by 1 (1 self) – Add To MetaCart
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Perceptron Learning for Chinese Word Segmentation
- Perceptron Learning for Chinese Word Segmentation Yaoyong Li † , Chuanjiang Miao ‡ , Kalina
- Cited by 2 (1 self) – Add To MetaCart
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SVM Based Learning System for F-term Patent Classification
- SVM Based Learning System for F-term Patent Classification Yaoyong Li, Kalina Bontcheva and Hamish
- Cited by 1 (1 self) – Add To MetaCart
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Using Uneven Margins SVM and Perceptron for Information Extraction
- Using Uneven Margins SVM and Perceptron for Information Extraction Yaoyong Li, Kalina Bontcheva
- Cited by 9 (3 self) – Add To MetaCart
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SVM Based Learning System For Information Extraction
- SVM Based Learning System For Information Extraction Yaoyong Li, Kalina Bontcheva, and Hamish
- Cited by 9 (5 self) – Add To MetaCart
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Cost Sensitive Evaluation Measures for F-term Patent Classification
- , Japan Cost Sensitive Evaluation Measures for F-term Patent Classification Yaoyong Li, Kalina Bontcheva
- Cited by 1 (1 self) – Add To MetaCart

