In real applications learning algorithms have to address several issues such as, huge
amount of data, samples which arrive continuously and underlying data generation …

Recurrent neural networks are increasingly used to classify text data, displacing feed-
forward networks. This article is a demonstration of how to classify text using Long Term …

The complexity of the background and the similarities between different types of precision
parts, especially in the high-speed movement of conveyor belts in complex industrial …

In this paper we present a modified Bag-of-Words algorithm used in image classification.
The classic Bag-of-Words algorithm is used in natural language processing. A text (such as …

In this paper a modification of the well-known Silhouette validity index is proposed. This
index, which can be considered a measure of the data set partitioning accuracy, enjoys …

This article concerns identifying objects generating signals from various sensors. Instead of
using traditional hand-made time series features we feed the signals as input channels to a …

In this paper a new hybrid method to determine parameters of time-variant non-linear
models of dynamic objects is proposed. This method first uses the State Transition Algorithm …

Increasingly, autonomous agents will be required to operate on long-term missions. This will
create a demand for general intelligence because feedback from a human operator may be …

This paper is focused on intelligent character recognition of handwritten texts. We apply
elements of the handwriting movement analysis in order to calculate possibilities of primitive …

For the problem of simplifying pattern-based modeling procedures, an improved pattern-
based modeling method is put forward via pattern classification for a class of complex …