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In practice, the difficult acquisition of labeled patterns is a major challenge for supervised algorithms.
Frequency division duplex systems with linear precoding acquire the channel state information at the receiver side by using supervised algorithms.
A clustering analysis has been applied to a data set and the classification has been performed using supervised algorithms.
I address the problem of noun compounds syntax by means of novel, highly accurate unsupervised and lightly supervised algorithms using the Web as a corpus and search engines as interfaces to that corpus.
It is also comparable with the accuracy achieved in the same competition by the supervised algorithms (82 83%) which contrary to the approach proposed in this paper have to be trained with large corpora.
It could be advantageous to investigate supervised algorithms with respect to the given sampling criteria.
Similar(31)
MatLSSVM, which has been built by combining the merits of the matrix learning and LSSVM, is a promising supervised algorithm.
The most widely used supervised algorithm is called backpropagation.
Support vector machine (SVM) is a supervised algorithm [20].
The GMDH is a supervised algorithm used for modeling complex nonlinear systems [24].
We present such an algorithm, D-MIAT, a supervised algorithm that discretizes data based on minority interesting attribute thresholds.
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