Multi-way distributional clustering via pairwise interactions
We present a novel unsupervised learning scheme that simultaneously clusters variables of several types (e.g., documents, words and authors) based on pairwise interactions betwe...
Publications
3 shownA comparison of event models for naive bayes text classification
Recent work in text classification has used two different first-order probabilistic models for classification, both of which make the naive Bayes assumption. Some use a multi-va...
Using Maximum Entropy for Text Classification
This paper proposes the use of maximum entropy techniques for text classification. Maximum entropy is a probability distribution estimation technique widely used for a variety o...
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 4,084
- Institution
- University of Massachusetts Amherst
External Links
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.