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This leads to the fact that LNBNN can learn incrementally.
A major concern in such systems is to select suitable samples to learn incrementally.
In our approach, we learn incrementally from every user action, allowing fast convergence to preferred settings and low computational complexity.
It also supports the diagnosing process by using on-line support vector machines able to learn incrementally from the diseases instances that are continuously added into the system.
This paper proposes an On-line Weighted Ensemble (OWE) of regressor models which is able to learn incrementally sample by sample in the presence of several types of changes and simultaneously retain old information in recurring scenarios.
Perceptrons provide a related technique, insofar as they decide class membership on the basis of a linear combination of feature values; their particular advantage is that they can learn incrementally (by adjusting feature weights) as more and more training data become available.
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Cross modal associations, stored as a higher-order tensor, are learned incrementally as these generalizations are formed.
After segmentation, the spatio-temporal motion sequences are learned incrementally through Topological Gaussian Adaptive Resonance Hidden Markov Model.
Without solving matrix eigenproblem or matrix inversion problem, IOCA learns incrementally from continuous data stream with low computational cost.
Using a self-organizing neural network to implement the adaptive CGF, air combat maneuvering strategies are learned incrementally and generalized in real time.
Based on their experiences, lenders are learning incrementally how to project success; academics are digging into unique ways to quantify outcomes; and social enterprises are applying more disciplined and strategic thinking to their visions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com