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» Geometric Clustering Using the Information Bottleneck Method
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JUCS
2008
185views more  JUCS 2008»
14 years 9 months ago
Recognising Informative Web Page Blocks Using Visual Segmentation for Efficient Information Extraction
Abstract: As web sites are getting more complicated, the construction of web information extraction systems becomes more troublesome and time-consuming. A common theme is the diffi...
Jinbeom Kang, Joongmin Choi
BMCBI
2005
89views more  BMCBI 2005»
14 years 9 months ago
Theme discovery from gene lists for identification and viewing of multiple functional groups
Background: High throughput methods of the genome era produce vast amounts of data in the form of gene lists. These lists are large and difficult to interpret without advanced com...
Petri Pehkonen, Garry Wong, Petri Töröne...
DL
1998
Springer
111views Digital Library» more  DL 1998»
15 years 1 months ago
SONIA: A Service for Organizing Networked Information Autonomously
The recent explosion of on-line information in Digital Libraries and on the World Wide Web has given rise to a number of query-based search engines and manually constructed topica...
Mehran Sahami, Salim Yusufali, Michelle Q. Wang Ba...
NIPS
2000
14 years 11 months ago
A Support Vector Method for Clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladi...
LWA
2004
14 years 11 months ago
Experiments in Term Weighting and Keyword Extraction in Document Clustering
We study methods to initialize or bias different clustering methods using prior information about the "importance" of a keyword w.r.t. the whole document collection or a...
Christian Borgelt, Andreas Nürnberger