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AGENTS
1998
Springer
14 years 4 days ago
WebACE: A Web Agent for Document Categorization and Exploration
We propose an agent for exploring and categorizing documents on the World Wide Web based on a user pro le. The heart of the agent is an automatic categorization of a set of docume...
Eui-Hong Han, Daniel Boley, Maria L. Gini, Robert ...
AAAI
2010
13 years 5 months ago
A Topic Model for Linked Documents and Update Rules for its Estimation
The latent topic model plays an important role in the unsupervised learning from a corpus, which provides a probabilistic interpretation of the corpus in terms of the latent topic...
Zhen Guo, Shenghuo Zhu, Zhongfei Zhang, Yun Chi, Y...
ERCIMDL
2003
Springer
109views Education» more  ERCIMDL 2003»
14 years 1 months ago
Clustering Top-Ranking Sentences for Information Access
Abstract. In this paper we propose the clustering of top-ranking sentences (TRS) for effective information access. Top-ranking sentences are selected by a query-biased sentence ex...
Anastasios Tombros, Joemon M. Jose, Ian Ruthven
IDEAL
2000
Springer
13 years 11 months ago
Clustering by Similarity in an Auxiliary Space
Abstract. We present a clustering method for continuous data. It defines local clusters into the (primary) data space but derives its similarity measure from the posterior distribu...
Janne Sinkkonen, Samuel Kaski
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 8 months ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai