Application des grammaires formelles aux modèles linguistiques en traduction automatique
Application of agent-based simulated annealing and tabu search procedures to solving the data reduction problem
The problem considered concerns data reduction for machine learning. Data reduction aims at deciding which features and instances from the training set should be retained for further use during the learning process. Data reduction results in increased capabilities and generalization properties of the learning model and a shorter time of the learning process. It can also help in scaling up to large data sources. The paper proposes an agent-based data reduction approach with the learning process executed...
Application of deontic logic in Role-Based Access Control
The paper presents a short overview of the foundations of the Role-Based Access Control Modal Model and its properties. In particular, the translation of these model formulae to the first-order logic formulae in a form of Horn's clauses is analysed. The automation of processes and mechanisms related to access control on the basis of logical automated reasoning and the PROLOG language are described.
Application of Fractional Calculus in the Dynamical Analysis and Control of Mechanical Manipulators
Mathematics Subject Classification: 26A33, 93C83, 93C85, 68T40Fractional Calculus (FC) goes back to the beginning of the theory of differential calculus. Nevertheless, the application of FC just emerged in the last two decades. In the field of dynamical systems theory some work has been carried out but the proposed models and algorithms are still in a preliminary stage of establishment. This article illustrates several applications of fractional calculus in robot manipulator path planning and control....
Application of fuzzy techniques to the design of algorithms in computer vision.
In this paper a method for the design of algorithms is presented which use fuzzy techniques in order to achieve a better vagueness treatment. A base of rules will be developed in order to design the algorithms. Data fuzzification problem is solved by using probability density functions and probability distribution functions, whereas data analysis is set out associating, to each one of the analysis rules, a fuzzy set which will be obtained by applying an aggregation function which will be defined...
Application of Neural-Net Computing to Transient Stability Assessment and Enhancement of Electric Power Systems
Application of SVR with improved ant colony optimization algorithms in exchange rate forecasting
Application of the Constrained Edit Distance Algorithm to Search Procedures
Applications of regime-switching models based on aggregation operators
A synthesis of recent development of regime-switching models based on aggregation operators is presented. It comprises procedures for model specification and identification, parameter estimation and model adequacy testing. Constructions of models for real life data from hydrology and finance are presented.
Applications of the Moore-Penrose inverse in digital image restoration.
Applied possibility theory
Applying A Normalized Compression Metric To The Measurement Of Dialect Distance
The paper discusses the application of a similarity metric based on compression to the measurement of the distance among Bulgarian dia- lects. The similarity metric is de ned on the basis of the notion of Kolmo- gorov complexity of a le (or binary string). The application of Kolmogorov complexity in practice is not possible because its calculation over a le is an undecidable problem. Thus, the actual similarity metric is based on a real life compressor which only approximates the Kolmogorov complexity....
Applying fuzzy logic in video surveillance systems.
In this work, the application of fuzzy logic in surveillance systems based on cameras is analyzed. Three different fuzzy systems have been tested and compared with a crisp decision system. The first one has been developed using an expert knowledge, the second one was learned from recorded videos, and a third one is developed as a refinement taking into account evaluation with ground truth. In all cases, the core of the system is the association function, in which the developed fuzzy system takes...
Approches des grammaires catégorielles
Étant donné l'importance que prennent les grammaires catégorielles dans le domaine de la linguistique computationnelle, il nous a semblé intéressant de dresser un panorama sur cette question. Nous espérons fournir, aux chercheurs intéressés, un matériau de base susceptible de les aider à approfondir par eux-mêmes le sujet.
Approximable concepts, Chu spaces, and information systems.
Approximate Model Checking of Real-Time Systems for Linear Duration Invariants
Real-time systems are usually modelled with timed automata and real-time requirements relating to the state durations of the system are often specifiable using Linear Duration Invariants, which is a decidable subclass of Duration Calculus formulas. Various algorithms have been developed to check timed automata or real-time automata for linear duration invariants, but each needs complicated preprocessing and exponential calculation. To the best of our knowledge, these algorithms have not been implemented....
Approximation of phenol concentration using novel hybrid computational intelligence methods
Approximation of proximities by aggregating T-indistinguishability operators.
Approximations of believability functions under incomplete identification of sets of compatible states
Approximations of lattice-valued possibilistic measures
Lattice-valued possibilistic measures, conceived and developed in more detail by G. De Cooman in 1997 [2], enabled to apply the main ideas on which the real-valued possibilistic measures are founded also to the situations often occurring in the real world around, when the degrees of possibility, ascribed to various events charged by uncertainty, are comparable only quantitatively by the relations like “greater than” or “not smaller than”, including the particular cases when such degrees are not...