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AEI
1999
134views more  AEI 1999»
15 years 2 months ago
Automatic design synthesis with artificial intelligence techniques
Design synthesis represents a highly complex task in the field of industrial design. The main difficulty in automating it is the definition of the design and performance spaces, i...
Francisco J. Vico, Francisco J. Veredas, Jos&eacut...
SGAI
2005
Springer
15 years 8 months ago
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
This paper presents the results of an investigation into the use of machine learning methods for the identification of narcotics from Raman spectra. The classification of spectr...
Tom Howley, Michael G. Madden, Marie-Louise O'Conn...
PROPOR
2010
Springer
173views Languages» more  PROPOR 2010»
15 years 11 days ago
A Machine Learning Approach to Portuguese Clause Identification
Abstract. In this work, we apply and evaluate a machine-learningbased system to Portuguese clause identification. To the best of our knowledge, this is the first machine-learning-b...
Eraldo R. Fernandes, Cícero Nogueira dos Sa...
114
Voted
CIKM
2005
Springer
15 years 8 months ago
Learning to summarise XML documents using content and structure
Documents formatted in eXtensible Markup Language (XML) are becoming increasingly available in collections of various document types. In this paper, we present an approach for the...
Massih-Reza Amini, Anastasios Tombros, Nicolas Usu...
IROS
2007
IEEE
143views Robotics» more  IROS 2007»
15 years 8 months ago
Metrics for quantifying system performance in intelligent, fault-tolerant multi-robot teams
— Any system that has the capability to diagnose and recover from faults is considered to be a fault-tolerant system. Additionally, the quality of the incorporated fault-toleranc...
Balajee Kannan, Lynne E. Parker