Lam Hong Lee

Artificial Intelligence · 2010

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #29,036 of 35,345 by trust here, #29,412 by citations
• Information Systems — 5 citations into it; #6,794 of 8,771 by trust here, #7,107 by citations

Whom Lam Hong Lee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Vladimir Naumovich Vapni
2. Yiming Yang
3. Yi Lin
4. Sean Bechhofer
5. Andrew McCallum
6. Monica Rogati
7. Thorsten Joachims

Who trusts Lam Hong Lee overall

1. Korde
2. Haoxiang Zhong

Papers from Lam Hong Lee's perspective

Ordered by how strongly the researchers Lam Hong Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
2. The Nature of Statistical Learning Theory
3. A comparison of event models for naive bayes text classification
4. A re-examination of text categorization methods
5. Machine learning in automated text categorization
6. High-performing feature selection for text classification (International Conference on Information and Knowledge Management)
7. Fab: content-based, collaborative recommendation
8. Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification (Pacific-Asia Conference on Knowledge Discovery and Data Mining)
9. OWL: Web Ontology Language (Encyclopedia of Database Systems)
10. An empirical study of the naive Bayes classifier

Their papers

• A Review of Machine Learning Algorithms for Text-Documents Classification (2010) — 664 citations