Geographical Feature Extraction for Entities in Location-based Social Networks
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Two low complexity methods for neural network construction, that are applicable to various neural network models, are introduced and evaluated for high order perceptrons. The methods are based on a Boolean approximation of real-valued data. This approximat ...
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The backpropagation algorithm is widely used for training multilayer neural networks. In this publication the steepness of its activation functions is investigated. In specific, it is discussed that changing the steepness of the activation function is equi ...
This is the second episode of the Bayesian saga started with the tutorial on the Bayesian probability. Its aim is showing in very informal terms how supervised learning can be interpreted from the Bayesian viewpoint. The focus is put on supervised learning ...
Successful information management implies the ability to design accurate representations of the real world of interest to targeted applications. Current systems do not provide representation schemes supporting the diversity of user needs. In the context of ...
