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Case-Based Reasoning (CBR) is a promising Artificial Intelligence (AI) method that is applied for problem solving tasks. This approach is widely used in order to develop Clinical Decision Support System (CDSS). A CDSS for diagnosis and treatment often plays a vital role and brings essential benefits for clinicians. Such a CDSS could function as an expert for a less experienced clinician or as a second...
A lot of natural language processing (NLP) applications require the computation of similarities between pairs of syntactic or semantic trees. Tree edit distance (TED), in this context, is considered to be one of the most effective techniques. However, its main drawback is that it deals with single node operations only. We therefore extended TED to deal with subtree transformation operations as well...
A number of trainable dependency parsers have been presented in the literature. These parsers require tagged input: this may potentially cause a problem, because taggers are not in general 100% accurate, and any errors in tagging are likely to lead to errors in the output of the parsers. The current paper investigates the relationship between tagging errors and parsing errors. The investigation is...
Our aim is to explore some gearbox vibration data characterized by 15 power spectra amplitudes. The data were gathered for two gearboxes: one being in a good state (set B) and the the other in a bad state (set A). In turn, each of the sets was gathered when the machine was operated under small/no load, and under full load. This gives 4 data sets to compare. We are concerned with two topics: 1. Is...
The consequences of tiredness, drowsiness, stress and lack of concentration caused by a variety of different factors such as illness, sleep depletion, drugs and alcohol is a serious problem in traffic and when operating industrial equipment. A system that recognizes the state of the driver and e.g. suggests breaks when stress level is too high or driver is too tired would enable large savings and...
The fuzzy rough set approach (FRSA) is a theoretical framework that can deal with data analysis of possibilistic information systems. While a set of comprehensive rules can be induced from a possibilistic information system by using FRSA, generation of several intuitively justified rules is sometimes blocked by objects that only partially satisfy the antecedents of the rules. In this paper, we use...
This paper shows a proposal for Type-reduction of an Interval Type-2 fuzzy set composed from α-cuts done over its primary membership functions. The definition of available Type-reduction methods for Interval Type-2 fuzzy sets are based on an homogeneous subdivision of the universe of discourse, so we propose an approximation algorithm for Type-reduction of an Interval type-2 fuzzy set through its...
The development of computer-aided solutions able to suggest the right facial makeup is a recent trend in image analysis applications, from which both amateurs and professionals could benefit significantly. The global harmony of a person is highly valuable when choosing makeup colors to make a person looking lovely. The global harmony is evaluated taking into account the color of the hair, skin and...
Clearly, there is no definitive standard for categorizing information contained in mathematical papers. Even if AMS Mathematics Subject Classification was important for mathematicians for years, nowadays we can observe growing popularity of other schemes, e.g. arXiv categories. On the other hand, in the era of digital information storing one can expect from the process of classification to be more...
This paper studies the automatic noise recognition problem based on RBF and MLP neural networks classifiers using linear predictive and Mel-frequency cepstral coefficients (LPC and MFCC). We first briefly review the architecture of each network as automatic noise recognition (ANR) approach, then, compare them to each other and investigate factors and criteria that influence final recognition performance...
Automated detection of heart valve disease through heart sound has a great requirement due to its inexpensive and non-invasive availability. Extensive research has been conducted recently on applying different classification and features selection techniques. Heart sound data sets represent a real life data that contains continuous attributes and a large number of features that could be hardly classified...
In this paper we present a new approach to belief revision. In contrast to traditional formalizations of this problem, where all pieces of information included in a knowledge base have identical status, we explicitly distinguish between observations, i.e., facts which an agent observes or is being told, and facts representing a general, sometimes defeasible, knowledge about the considered world.1...
The paper investigates the influence of different types of distance measures on the performance of a multiple classifier system consisting of one-class classifiers. This specific type of machine learning approach uses examples only from a single class to derive a decision boundary — hence its is often referred to as learning in the absence of counterexamples. Combining several one-class classifiers...
In this paper principles of relative dilemmatic logic as a modification of conventional relative logic are formulated and based on them methods of logical reasoning are presented and illustrated by examples. It is shown that dilemmatic logic makes possible not only to relatively evaluate logical values of statements without using any numerical parameters but also it makes possible to eliminate from...
Constraint Satisfaction Problems typically exhibit very strong combinatorial explosion of exponential nature. This is due to their intrinsic nature: a number of variables have to be assigned values from their domains. This induces a very large number of potential solutions to be explored. Most typical approaches are oriented towards reduction of the inevitable search through advanced constraint propagation...
Each language has its word order, which determines the way of ordering words in a sentence. This paper presents knowledge patterns for sentences in the English language. Knowledge patterns are general patterns of knowledge which can be used in any knowledge base or ontology. While using them, the general symbols from the pattern are renamed to special symbols from the modeled domain. The RDF graph...
The current upheaval in the electricity sector is leading to distributed generation schemes and new grid structures. At the same time, this change is heading for a paradigm shift in controlling energy resources within the grid. Proactive scheduling of active power within a (from a controlling perspective) loosely coupled group of distributed energy resources demands for distributed optimization methods...
This paper examines the possibility of detecting 2 conditions which cause vision to deteriorate: Aged-Related Macular Degeneration (AMD), and the effects of aging on eyes using the features of PLR waveforms. These features were extracted using Fourier descriptors of PLR waveform shapes, weighted amplitudes of the waveforms, and a balanced combination of these two in the from of a weighted value. The...
The perspective projection models the way a 3D scene is transformed into a 2D image, usually through a camera or an eye. In a projective transformation, parallel lines intersect in a point called vanishing point. This paper presents in detail two calibration methods that exploit the properties of vanishing points. The aim of the paper is to offer a practical tool for the choice of the appropriate...
The traveling salesman problem, or TSP, is one of the most famous and well studied problems in combinatorial optimization. There are many studies with the objective of finding an optimal solution for this problem. These studies have not been successful, since it is considered to be an NP-Hard problem. This means that is not possible to find a method that ensures an optimal solution for all instances...
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