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IJCAI
1997
15 years 5 months ago
An Effective Learning Method for Max-Min Neural Networks
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
Loo-Nin Teow, Kia-Fock Loe
AUTOMATICA
2007
90views more  AUTOMATICA 2007»
15 years 4 months ago
Stability analysis of discrete-time iterative learning control systems with interval uncertainty
This paper presents a stability analysis of the iterative learning control (ILC) problem for discrete-time systems when the plant Markov parameters are subject to interval uncerta...
Hyo-Sung Ahn, Kevin L. Moore, Yangquan Chen
IJCSA
2006
111views more  IJCSA 2006»
15 years 4 months ago
Using DocBook and XML Technologies to Create Adaptive Learning Content in Technical Domains
This work presents an XML-based authoring methodology that facilitates the different tasks associated with the development of standards-compliant e-learning content development. T...
Iván Martínez-Ortiz, Pablo Moreno-Ge...
PODS
2006
ACM
98views Database» more  PODS 2006»
16 years 4 months ago
Processing queries on tree-structured data efficiently
This is a survey of algorithms, complexity results, and general solution techniques for efficiently processing queries on tree-structured data. I focus on query languages that com...
Christoph Koch
WWW
2009
ACM
16 years 5 months ago
C-SPARQL: SPARQL for continuous querying
C-SPARQL is an extension of SPARQL to support continuous queries over RDF data streams. Supporting streams in RDF format guarantees interoperability and opens up important applica...
Davide Francesco Barbieri, Daniele Braga, Stefano ...