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» Learning Object Representations Using Sequential Patterns
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IEEEICCI
2007
IEEE
14 years 4 months ago
An Image Association Model of the Brodmann Areas
The ability to associate images is the basis for learning relationships involving vision, hearing, tactile sensation, and kinetic motion. A new architecture is described that has ...
Douglas S. Greer
NN
2008
Springer
158views Neural Networks» more  NN 2008»
13 years 9 months ago
Improved mapping of information distribution across the cortical surface with the support vector machine
The early visual cortices represent information of several stimulus attributes, such as orientation and color. To understand the coding mechanisms of these attributes in the brain...
Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud ...
ICTAI
2008
IEEE
14 years 4 months ago
Information Extraction as an Ontology Population Task and Its Application to Genic Interactions
Ontologies are a well-motivated formal representation to model knowledge needed to extract and encode data from text. Yet, their tight integration with Information Extraction (IE)...
Alain-Pierre Manine, Érick Alphonse, Philip...
MLDM
2005
Springer
14 years 3 months ago
Supervised Evaluation of Dataset Partitions: Advantages and Practice
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
Sylvain Ferrandiz, Marc Boullé
ICALT
2005
IEEE
14 years 3 months ago
ActiveTutor
In this paper we present an architecture dedicated to an intelligently assisted educational tool which integrates within a unified framework software rational agents both at the m...
Jean Pierre Fournier