1707 search results - page 276 / 342 » Modeling spiking neural networks |
ICANN
2007
Springer
15 years 6 months ago
2007
Springer
Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, th...
IJCNN
2006
IEEE
15 years 6 months ago
2006
IEEE
— Handling catastrophic forgetting is an interesting and challenging topic in modeling the memory mechanisms of the human brain using machine learning models. From a more general...
102
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IJCNN
2006
IEEE
15 years 6 months ago
2006
IEEE
— Performing face detection and tracking on a mobile robot in a dynamic environment is a challenging task with the real-time constraints. To realize a natural reactive behavior o...
MICAI
2000
Springer
15 years 3 months ago
2000
Springer
Artificial Neural Networks (ANN) are an emerging technology, yet, in continuous dynamic behavior, much work has been done to attempt to generate a formal method to design a contro...
100
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IJISTA
2007
14 years 11 months ago
2007
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...