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IDA
2010
Springer
14 years 10 months ago
Multi-dimensional data construction method with its application to learning from small-sample-sets
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
Hsiao-Fan Wang, Chun-Jung Huang
IJKSR
2011
106views more  IJKSR 2011»
14 years 3 months ago
Integrating the LMS in Service Oriented eLearning Systems
Learning management systems are routinely used for presenting, solving and grading exercises with large classes. However, teachers are constrained to use questions with pre-defined...
José Paulo Leal, Ricardo Queirós
PRL
2011
14 years 6 months ago
A sparse version of the ridge logistic regression for large-scale text categorization
The ridge logistic regression has successfully been used in text categorization problems and it has been shown to reach the same performance as the Support Vector Machine but with...
Sujeevan Aseervatham, Anestis Antoniadis, É...
IDA
2008
Springer
14 years 12 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
IJCNN
2000
IEEE
15 years 4 months ago
Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural Network
A self-organizing neural network for learning and recall of complex temporal sequences is proposed. we consider a single sequence with repeated items, or several sequences with a c...
Guilherme De A. Barreto, Aluizio F. R. Araú...