| I.5.2 Design Methodology | Article |
TECHNOLOGY OF CLASSIFICATION OF ELECTRONIC DOCUMENTS BASED ON THE THEORY ... |
Abstract: Technology of classification of electronic documents based on the theory of disturbance of
pseudoinverse matrices was proposed.
Keywords: classification, training sample, a pseudoinverse |
| I.5.2 Design Methodology | Article |
A COMPARISON OF SOME APPROACHES TO THE RECOGNITION PROBLEMS IN CASE OF TWO ... |
Abstract: We consider an improved model of the empirical risk minimization problem and its continuous
relaxation. The continuous relaxation of the formulated problem is compared with the mathematical |
| I.5.1 Models | Article |
ADAPTIVE CLUSTERING OF INCOMPLETE DATA USING NEURO-FUZZY KOHONEN NETWORK |
Abstract: The clustering problem for multivariate observations often encountered in many applications connected with Data Mining and Exploratory Data Analysis. Conventional approach to solving these p |
| I.5.1 Models | Article |
ADAPTIVE FUZZY PROBABILISTIC CLUSTERING OF INCOMPLETE DATA |
Abstract: in the paper new recurrent adaptive algorithm for fuzzy clustering of data with missing values is
proposed. This algorithm is based on fuzzy probabilistic clustering procedures and self-lea |
| I.5.1 Models | Article |
ADAPTIVE GUSTAFSON-KESSEL FUZZY CLUSTERING ALGORITHM BASED ON ... |
Abstract: The Gustafson-Kessel fuzzy clustering algorithm is capable of detecting hyperellipsoidal clusters of
different sizes and orientations by adjusting the covariance matrix of data, thus overco |
| I.5.1 Models | Article |
AN APPROACH TO COLLABORATIVE FILTERING BY ARTMAP NEURAL NETWORKS |
Abstract: Recommender systems are now widely used in e-commerce applications to assist customers to find
relevant products from the many that are frequently available. Collaborative filtering (CF) is |
| I.5 PATTERN RECOGNITION | Article |
APPLICATIONS OF RADIAL BASIS NEURAL NETWORKS FOR AREA FOREST |
Abstract: This paper proposes a new method using radial basis neural networks in order to find the classification
and the recognition of trees species for forest inventories. This method computes the |
| I.5.1 Models | Article |
Automated Building Extraction System Applied On High Resolution Satellite ... |
Abstract: The article is devoted to the development of the new Automated Building Extraction system applied on
High Resolution Satellite Imagery, which is based on an object-oriented approach and sof |
| I.5 PATTERN RECOGNITION | Article |
AUTOMATIC ECG ANALYSIS FOR PRELIMINARY AND DETAILED DIAGNOSTICS ... |
Abstract: A novel approach of automatic ECG analysis based on scale-scale signal representation is proposed.
The approach uses curvature scale-space representation to locate main ECG waveform limits |
| I.5.1 Models | Article |
Bankruptcy risk forecasting under uncertainty with application of fuzzy |
Abstract: The problem of corporations’ bankruptcy risk forecasting under uncertainty is considered in this paper.
The application of neo-fuzzy cascade neural networks is suggested. The experimental |
| I.5.5 Implementation | Article |
CHAIN SPLIT AND COMPUTATIONS IN PRACTICAL RULE MINING |
Abstract: A novel association rule mining algorithm is composed, using the unit cube chain decomposition
structures introduced in [HAN, 1966; TON, 1976]. [HAN, 1966] established the chain split theor |
| I.5.4 Applications | Article |
CLASSIFICATION OF BIOMEDICAL SIGNALS USING THE DYNAMICS |
Abstract: Accurate and efficient analysis of biomedical signals can be facilitated by proper identification based on
their dominant dynamic characteristics (deterministic, chaotic or random). Specifi |
| I.5 PATTERN RECOGNITION | Article |
CLASSIFICATION OF INCOMPLETE DATA |
Abstract: The problem of reconstructing the feature values in samples of objects given in terms of numerical
features is considered. A numerical study of different approaches of solving this problem |
| I.5.1 Models | Article |
CONSTRUCTION OF CLASS LEVEL DESCRIPTION FOR EFFICIENT RECOGNITION OF ... |
Abstract: Many artificial intelligence problems are NP-complete ones. To increase the needed time of such a
problem solving a method of extraction of sub-formulas characterizing the common features o |
| I.5.1 Models | Article |
CONVOLUTION NETWORKS AS A METHOD OF REALISATION OF CUSTOMS RISK-MANAGEMENT |
Abstract: The paper discusses the theoretical aspects of the mathematical model of convolutional neural networks
as a means of classifying the information was not originally a graphic of origin. The |
| I.5.1 Models | Article |
CROP STATE AND AREA ESTIMATION IN UKRAINE BASED ON REMOTE AND INSITU ... |
Abstract: This paper highlights the current state on establishing a network of test sites in Ukraine within the Joint
Experiment for Crop Assessment and Monitoring (JECAM) project of the Global Earth |
| I.5.1 Models | Article |
EFFICIENT SIMULATION FOR PROLOG IMPLEMENTATION OF IMAGE RECOGNITION PROBLEM |
Abstract: Pattern recognition problem using properties of parts of a recognizable objects and relations between
them is NP-hard. That is why quick recognition of an object with many elements is a dif |
| I.5.1 Models | Article |
EVALUATING MISCLASSIFICATION PROBABILITY USING EMPIRICAL RISK1 |
Abstract: The goal of the paper is to estimate misclassification probability for decision function by training
sample. Here are presented results of investigation an empirical risk bias for nearest n |
| I.5.3 Clustering | Article |
EVOLUTIONARY CLUSTERING OF COMPLEX SYSTEMS AND PROCESSES |
Abstract: In a paper the method of complex systems and processes clustering based use of genetic algorithm is
offered. The aspects of its realization and shaping of fitness-function are considered. T |
| I.5.1 Models | Article |
FLOOD RISK ASSESSMENT BASED ON GEOSPATIAL DATA |
Abstract: The problem statement of disaster risk assessment, based on heterogeneous information (from
satellites and in-situ data, and modelling data) is proposed, the problem solving method is groun |
| I.5.1 Models | Article |
FUZZY ARTMAP NEURAL NETWORKS FOR COMPUTER AIDED DIAGNOSIS |
Abstract: The economic and social values of breast cancer diagnosis are very high. This study explores the
predictive abilities of Fuzzy ARTMAP neural networks for breast cancer diagnosis. The data u |
| I.5.1 Models | Article |
FUZZY SETS AS A MEAN FOR UNCERTAINTY HANDLING: MATH, APPLIED MATH, HEURISTICS |
Abstract: Number of Disciplines and Theories changed their status from status of Natural Science discipline to Mathematics. The Theory of Probability is the classical example of that kind. The main pr |
| I.5.1 Models | Article |
FUZZY SETS: ABSTRACTION AXIOM, STATISTICAL INTERPRETATION, OBSERVATIONS ... |
Abstract: The issues relating fuzzy sets definition are under consideration including the analogue for separation
axiom, statistical interpretation and membership function representation by the condi |
| I.5.1 Models | Article |
FUZZY SETS: MATH, APPLIED MATH, HEURISTICS? PROBLEMS AND INTERPRETATIONS |
Abstract: Number of Disciplines and Theories changed their status from status of Natural Science discipline to
Mathematics. The Theory of Probability is the classical example of that kind. The main p |
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