Byron Dom
Artificial Intelligence · 2003–2011
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 7 citations into it
Whom Byron Dom trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Byron Dom overall
Papers from Byron Dom's perspective
Ordered by how strongly the researchers Byron Dom trusts endorse each paper. Same corpus, a different order for every researcher.
- The Minimum Description Length Principle (Adaptive Computation and Machine Learning)
- A Maximum Entropy Approach to Natural Language Processing
- Approximate Nearest Neighbor: Towards Removing the Curse of Dimensionality
- Scalable Techniques for Clustering the Web
- Social Network Analysis: Methods and Applications
- Simple BM25 extension to multiple weighted fields (International Conference on Information and Knowledge Management)
- Information and Complexity in Statistical Modeling
- Learning to cluster web search results (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
- Stochastic Complexity and Modeling
- MUTUAL INFORMATION, METRIC ENTROPY AND CUMULATIVE RELATIVE ENTROPY RISK
Their papers
- Scalable clustering of news search results (2011) — 28 citations
- Expertise identification using email communications (2003) — 408 citations