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» Network Structuring and Training Using Rule-Based Knowledge
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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
14 years 10 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
IV
2008
IEEE
133views Visualization» more  IV 2008»
15 years 4 months ago
Mining Scholarly Semantic Networks from the Web
With the increased usage of the Web and its availability of data, various scholarly information is now available on the Web. Extraction, aggregation, and visualization of such inf...
Mizuki Oka, Yutaka Matsuo
61
Voted
KDD
2004
ACM
136views Data Mining» more  KDD 2004»
15 years 10 months ago
Exploring the community structure of newsgroups
d Abstract] Christian Borgs Jennifer Chayes Mohammad Mahdian Amin Saberi We propose to use the community structure of Usenet for organizing and retrieving the information stored i...
Christian Borgs, Jennifer T. Chayes, Mohammad Mahd...
ICIS
2000
14 years 11 months ago
A framework of knowledge management systems: issues and challenges for theory and practice
As the basis of value creation increasingly depends on the leverage of the intangible assets of firms, Knowledge Management Systems (KMS) are emerging as powerful sources of compe...
Jungpil Hahn, Mani R. Subramani
124
Voted
WEBNET
2001
14 years 11 months ago
An Adaptive Hypermedia Presentation Modeling System for Custom Knowledge Representations
We propose a generic presentation system for adaptive educational hypermedia that is highly independent from domain knowledge representation and application state management. Our a...
Pablo Castells, José Antonio Macías ...