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Fog Computing recently came up as an extension of cloud computing to facilitate the development of IoT services with strong requirements in latency, security while minimizing the traffic load in the network. The stack of resources set by putting together fog and cloud premises has been recently coined as Fog-to-Cloud (F2C) computing, and has been positioned as an innovative computing paradigm best...
DNA microarray data is a challenging issue for machine learning researchers due to the high number of gene expression contained and the small samples sizes. To deal with this problem, feature selection methods, such as filters and wrappers, are typically applied to reduce the dimensionality. In this work, we apply a filter method before the classification and include a discretization step. The results...
There are two classical approaches for dealing with multiple class data sets: a classifier that can deal directly with them, or alternatively, dividing the problem into multiple binary sub-problems. While studies on feature selection using the first approach are relatively frequent in scientific literature, very few studies employ the latter one. Out of the four classical methods that can be employed...
Given the variety of operations that can be performed with monomials and polynomials, learning algebra requires constant student training. Therefore, numerous solutions have been offered to resolve this problem, some with many possibilities for introducing content, others with an emphasis on practice, but very few with a follow-up of student activities. In the latter cases some statistical information...
In this paper, a novel supervised architecture for binary classification based on local modelling and information theory is described. The architecture is composed of two steps: in the first one, a separating borderline between the two classes is piecewise constructed by a set of centroids calculated by a modified clustering algorithm, based on information theory; each of these centroids define a...
KDD Cup 99 dataset is a classical challenge for computer intrusion detection as well as machine learning researchers. Due to the problematic of this dataset, several sophisticated machine learning algorithms have been tried by different authors. In this paper a new approach is proposed that consists in a combination of a discretizator, a filter method and a very simple classical classifier. The results...
This paper presents the game Myo-Pong, a simple graphical table-tennis game included in the portable UVa Neuromuscular Training System (UVa-NTS). Myo-Pong demonstrates the capabilities of the UVa-NTS as a myoelectric real-time system for training and for playing by means of myoelectric control.
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