Chia-Jung Hsu
2004
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Whom Chia-Jung Hsu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Chia-Jung Hsu overall
Papers from Chia-Jung Hsu's perspective
Ordered by how strongly the researchers Chia-Jung Hsu trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Support-Vector Networks
- Fast Training of Support Vector Machines using Sequential Minimal Optimization
- Exploiting Generative Models in Discriminative Classifiers
- On the Learnability and Design of Output Codes for Multiclass Problems
- Knowledge-based analysis of microarray gene expression data by using support vector machines. (Proceedings of the National Academy of Sciences of the United States of America)
- Fast training of support vector machines using sequential minimal optimization, advances in kernel methods
- Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites (German Conference on Bioinformatics)
- Machine Learning, Neural and Statistical Classification
- Financial time series prediction using least squares support vector machines within the evidence framework (IEEE Trans. Neural Networks)
Their papers
- Credit rating analysis with support vector machines and neural networks: a market comparative study (2004) — 1,075 citations