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VLSISP
2002
124views more  VLSISP 2002»
15 years 3 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
ICANN
2010
Springer
15 years 2 months ago
Dynamic Shape Learning and Forgetting
In this paper, we present a system capable of dynamically learning shapes in a way that also allows for the dynamic deletion of shapes already learned. It uses a self-balancing Bin...
Nikolaos Tsapanos, Anastasios Tefas, Ioannis Pitas
ACL
2010
15 years 2 months ago
Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns
A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
Zornitsa Kozareva, Eduard H. Hovy
151
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ICDAR
2009
IEEE
15 years 1 months ago
Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment
We propose a low cost method for the correction of the output of OCR engines through the use of human labor. The method employs an error estimator neural network that learns to as...
Ahmad Abdulkader, Mathew R. Casey
SPEECH
2010
125views more  SPEECH 2010»
14 years 11 months ago
Automatic intonation assessment for computer aided language learning
In this paper the nature and relevance of the information provided by intonation is discussed in the framework of second language learning. As a consequence, an automatic intonati...
Juan Pablo Arias, Néstor Becerra Yoma, Hira...