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» Network Structuring and Training Using Rule-Based Knowledge
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ICASSP
2011
IEEE
14 years 1 months ago
Using latent topic features to improve binary classification of spoken documents
In many topic identification applications, supervised training labels are indirectly related to the semantic content of the documents being classified. For example, many topical...
Jonathan Wintrode
AAAI
2008
14 years 12 months ago
Decoding Wikipedia Categories for Knowledge Acquisition
This paper presents an approach to acquire knowledge from Wikipedia categories and the category network. Many Wikipedia categories have complex names which reflect human classific...
Vivi Nastase, Michael Strube
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
OGAI
1993
15 years 1 months ago
Combining Neural Networks and Fuzzy Controllers
Fuzzy controllers are designed to work with knowledge in the form of linguistic control rules. But the translation of these linguistic rules into the framework of fuzzy set theory ...
Detlef Nauck, Frank Klawonn, Rudolf Kruse
ASWEC
2001
IEEE
15 years 1 months ago
CORONET: An Australian Software Engineering Experience in Collaborative Research with the European Community
The purpose of this paper is two fold. Firstly, to inform the Australian software engineering community of the European Fifth Framework research structure and the involvement of a...
John D'Ambra, D. Ross Jeffery, Dietmar Pfahl