Limin Kuang
Artificial Intelligence · 2012
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
- Information Systems — 6 citations into it
Whom Limin Kuang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Limin Kuang's perspective
Ordered by how strongly the researchers Limin Kuang trusts endorse each paper. Same corpus, a different order for every researcher.
- Term-Weighting Approaches in Automatic Text Retrieval
- Text Categorization with Support Vector Machines: Learning with Many Relevant Features
- Machine learning in automated text categorization
- Relevance feedback in information retrieval
- An evaluation of Naive Bayesian anti-spam filtering
- Book Reviews: Foundations of Statistical Natural Language Processing
- A vector space model for automatic indexing
- A re-examination of text categorization methods
- Data clustering: a review
- Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach (arXiv.org)
Their papers
- An improved K-nearest-neighbor algorithm for text categorization (2012) — 263 citations