| I.2.6 Learning | Article |
DIAGARA: AN INCREMENTAL ALGORITHM FOR INFERRING IMPLICATIVE RULES FROM EXAMPLES |
Abstract: An approach is proposed for inferring implicative logical rules from examples. The concept of a good
diagnostic test for a given set of positive examples lies in the basis of this approach. |
| I.2.2 Automatic Programming | Article |
DIALOG BASED ON GRAPHICAL STATIC SCENES MANAGED BY AN ONTOLOGY |
Abstract. A new method to implementation of dialog based on graphical static scenes using an ontology-based
approach to user interface development is proposed. The main idea of the approach is to for |
| I.2.6 Learning | Article |
DIDACTIC DESIGNING OF RESOURCE SUPPORT FOR TRAINING ENVIRONMENT |
Abstract: Designing of the training environment with expected qualities is considered as a multidimensional
technology of Didactic design, which represents the aggregate of methodology and designing |
| I.2.3 Deduction and Theorem Proving | Article |
DIRECT AND DUAL PROBLEM OF INVESTMENT PORTFOLIO OPTIMIZATION UNDER UNCERTAINTY |
Abstract: The problem of forming an optimal portfolio of securities under uncertainty was considered. The main
objective of portfolio investment is to improve the investment environment, giving secur |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
DISCRETE ARTIFICIAL INTELLIGENCE PROBLEMS AND NUMBER OF STEPS OF THEIR SOLUTION |
Abstract: Aggregate characteristics of discrete models appearing in different artificial intelligence problems are considered. It is shown that if an investigated object is a collection of its element |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
DISTANCE BETWEEN OBJECTS DESCRIBED BY PREDICATE FORMULAS |
Abstract: Functions defining a distance and a distinguish degree between objects described by predicate
formulas are introduced. It is proved that the introduced function of distance satisfies all pr |
| I.2 ARTIFICIAL INTELLIGENCE | Article |
DISTINCTIVE FEATURES OF MOBILE MESSAGES PROCESSING |
Abstract: World’s mobile market pushes past 2 billion lines in 2005. Success in these competitive markets
requires operational excellence with product and service innovation to improve the mobile p |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
DOMAINS WITH COMPLICATED STRUCTURES AND THEIR ONTOLOGIES1 |
Abstract: The article defines the class of domains with complicated structures, gives the definition of multilevel
ontologies and determines the method for developing such ontologies.
Keywords: Do |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
DOUBLE-WAVELET NEURON BASED ON ANALYTICAL ACTIVATION FUNCTIONS |
Abstract: In this paper a new double-wavelet neuron architecture obtained by modification of standard wavelet
neuron, and its learning algorithm are proposed. The offered architecture allows to impro |
| I.2.1 Applications and Expert Systems | Article |
DYNAMIC INTEGRATED EXPERT SYSTEMS: THE EVOLUTION OF AT-TECHNOLOGY WORKBENCH |
Abstract: The current state and trends in the area of dynamic intelligent systems are analyzed. The first
experimental results obtained in the development of certain provisions and components of the |
| I.2 ARTIFICIAL INTELLIGENCE | Article |
EDUCATION COMPLEX "MULTI-AGENT TECHNOLOGIES FOR PARALLEL AND DISTRIBUTED ... |
Abstract: The paper describes education complex "Multi-agent Technologies for Parallel and Distributed
Information Processing in Telecommunication Networks".
Keywords: multi-agent technologies, pa |
| I.2.6 Learning | Article |
EDUKIT: INFO-EDUCATIONAL PLATFORM ENABLING TO CREATE WEBSITES FOR SECONDARY ... |
Abstract: This article focuses on computerisation and informatisation of Ukrainian secondary schools. Some of
the problems can be solved with the help of modern technologies, for instance, by present |
| I.2.4 Knowledge Representation Formalisms and Methods | 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.2.7 Natural Language Processing | Article |
ELECTION DATA VISUALIZATION |
Abstract: Data visualization has direct link to data interface, data capture, data analysis, and data presentation. At the present time there is still a huge gap between our ability to extract answers |
| I.2.1 Applications and Expert Systems | Article |
EMGNEU: MOBILE HEALTH APPLICATION FOR NEUROMUSCULAR DISORDERS DIAGNOSIS |
Abstract: Neuromuscular disorders term refers to all diseases that affect nerves and muscles.
Amyotrophic Lateral Sclerosis (ALS, also called Lou Gehrig’s disease) is one of the most common
neurom |
| I.2.0 General | Article |
Enhanced Cart Technologies in Partial Synthetic Data Generation |
Abstract: This work aims at studying personal data analysis area, when confidentiality property of data is
ensured. It is supposed that we are given partially critical social science data and prior t |
| I.2.m Miscellaneous | Article |
ESTIMATION OF THE INVESTMENT ATTRACTIVENESS OF COMPANIES USING MULTIPLES ... |
Abstract: The article is devoted to the issue of using financial multipliers to estimate the value of a company. In
our research we identified the industries that account for more than 50% of Gross D |
| I.2.3 Deduction and Theorem Proving | Article |
EVALUATING EXPECTED EFFECTIVENESS OF INTERVAL ALTERNATIVES |
Abstract: Earlier, in the framework of our previous papers, we introduced a criterion for comparing interval
alternatives, which was called the assurance factor. It is based on the balance of chances |
| I.2.3 Deduction and Theorem Proving | Article |
Evaluating Expected Effectiveness of Interval Alternatives |
Abstract: Earlier, in the framework of our previous papers, we introduced a criterion for comparing interval
alternatives, which was called the assurance factor. It is based on the balance of chances |
| I.2.6 Learning | Article |
EVOLVING CASCADE NEURAL NETWORK BASED ON MULTIDIMESNIONAL EPANECHNIKOV’S ... |
Abstract: At present time neural networks based on Group Method of Data Handling (GMDH-NN), nodes of which are two-input N-Adalines, is well-known. Each of N-Adalines contains the set of adjustable sy |
| I.2 ARTIFICIAL INTELLIGENCE | Article |
EXPERIMENTAL SUPPORT OF ARGUMENT-BASED SYNTACTIC COMPUTATION |
Abstract: Linguistic theory, cognitive, information, and mathematical modeling are all useful while we attempt to
achieve a better understanding of the Language Faculty (LF). This cross-disciplinary |
| I.2 ARTIFICIAL INTELLIGENCE | Article |
EXPERIMENTAL SUPPORT OF SYNTACTIC COMPUTATION BASED ON SEMANTIC ... |
Abstract: Linguistic theory, cognitive, information, and mathematical modeling are all useful while we attempt to achieve a better understanding of the Language Faculty (LF). This cross-disciplinary a |
| I.2.7 Natural Language Processing | Article |
EXPERIMENTS IN DETECTION AND CORRECTION OF RUSSIAN MALAPROPISMS BY MEANS ... |
Abstract: Malapropism is a semantic error that is hardly detectable because it usually retains syntactical links
between words in the sentence but replaces one content word by a similar word with qui |
| I.2 ARTIFICIAL INTELLIGENCE | Article |
EXPERT SYSTEM OF RATIONAL DECISION MAKING OF DISTRIBUTION OF ELECTRIC IN ... |
Abstract: «Smart Grid» - is a large-scale direction in modern energy. This term is relatively recent: energy
discontinues being just a facility of comfortable life; it becomes a facility of develop |
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