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» High Performance Reasoning with Very Large Knowledge Bases
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ICMCS
2009
IEEE
102views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Scalable HMM based inference engine in large vocabulary continuous speech recognition
Parallel scalability allows an application to efficiently utilize an increasing number of processing elements. In this paper we explore a design space for parallel scalability for...
Jike Chong, Kisun You, Youngmin Yi, Ekaterina Goni...
CADE
2006
Springer
15 years 10 months ago
CEL - A Polynomial-Time Reasoner for Life Science Ontologies
CEL (Classifier for EL) is a reasoner for the small description logic EL+ which can be used to compute the subsumption hierarchy induced by EL+ ontologies. The most distinguishing ...
Franz Baader, Carsten Lutz, Boontawee Suntisrivara...
114
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KES
2007
Springer
15 years 3 months ago
Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods
This work deals with the application of kernel methods to structured relational settings such as semantic knowledge bases expressed in Description Logics. Our method integrates a n...
Nicola Fanizzi, Claudia d'Amato
IJCNN
2006
IEEE
15 years 3 months ago
Training of Large-Scale Feed-Forward Neural Networks
Abstract— Neural processing of large-scale data sets containing both many input / output variables and a large number of training examples often leads to very large networks. Onc...
Udo Seiffert
SIGMOD
2001
ACM
193views Database» more  SIGMOD 2001»
15 years 9 months ago
Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data
The similarity join is an important database primitive which has been successfully applied to speed up applications such as similarity search, data analysis and data mining. The s...
Christian Böhm, Bernhard Braunmüller, Fl...