Fundamenta Informaticae - Volume 96, issue 4

Article Type: Other

DOI: 10.3233/FI-2009-184

Citation: Fundamenta Informaticae, vol. 96, no. 4, pp. i-ii, 2009

Authors: Rhee, Sang Keun | Lee, Jihye | Park, Myon-Woong | Szymczak, Michał | Fr�ckowiak, Grzegorz | Ganzha, Maria | Paprzycki, Marcin

Article Type: Research Article

Abstract: In our work, an agent-based system supporting workers in an organization is centered around utilization of ontologically demarcated data. In this system, ontological matchmaking, understood as a way of establishing closeness between resources, is one of key functionalities. Specifi- cally, it is used to autonomously provide recommendations to the user, who is represented by her/his personal agent. These recommendations specify, which among available resources are relevant/of interest to the worker. In this paper, we discuss …our approach to measuring semantic closeness between ontologically demarcated information objects, while a Duty Trip Support application is used as a case study. General description of the algorithm is followed by a recommendation example based on support for a worker who is seeking advice in planning a duty trip. Show more

Keywords: Ontological matchmaking, semantic closeness, recommender system, resource management, resource matching

DOI: 10.3233/FI-2009-185

Citation: Fundamenta Informaticae, vol. 96, no. 4, pp. 395-418, 2009

Authors: El Jelali, Soufiane | Lyhyaoui, Abdelouahid | Figueiras-Vidal, Aníbal R.

Article Type: Research Article

Abstract: When training machine classifiers, to replace hard classification targets by emphasized soft versions of them helps to reduce the negative effects of using standard cost functions as approximations to misclassification rates. This emphasis has the same kind of effect as sample editing methods, that have proved to be effective for improving classifiers performance. In this paper, we explore the effectiveness of using emphasized soft targets with generative models, such as Gaussian MixtureModels (GMM), and Gaussian Processes …(GP). The interest of using GMMis that they offer advantages such as an easy interpretation and straightforward possibilities to deal with missing values. With respect to GP, if we use soft targets, we do not need to resort to any complex approximation to get a Gaussian Process classifier and, simultaneously, we can obtain the advantages provided by the use of an emphasis. Simulation results support the usefulness of the proposed approach to get better performance and show a low sensitivity to design parameters selection. Show more

Keywords: Smoothing target, sample selection, classification, GMM, GP

DOI: 10.3233/FI-2009-186

Citation: Fundamenta Informaticae, vol. 96, no. 4, pp. 419-433, 2009

Authors: Paradowski, Mariusz | Kwasnicka, Halina

Article Type: Research Article

Abstract: Automatic Image Annotation is an important research topic in pattern recognition area. There are many different approaches to Automatic Image Annotation. In many of these approaches a key problem is determining correct word distributions in the generated annotations. Incorrect word distributions (word frequencies) results in large reduction of annotation quality. The paper presents a generic approach to find correct word frequencies. The approach may be used with many automatic image annotators, based on various machine learning …paradigms. Proposed method is an improved version of our already presented method, called Greedy Resulted Word Counts Optimization. The key differences and novelties in the paper are: the concept of border support values and a method of optimal step selection in the optimization routine. Optimal step selection allows to reduce the number of computations during the optimization procedure, comparing to old Greedy Resulted Word Counts Optimization method. Show more

Keywords: Automatic Image Annotation, Word Counts Optimization

DOI: 10.3233/FI-2009-187

Citation: Fundamenta Informaticae, vol. 96, no. 4, pp. 435-463, 2009

Authors: Brzostowski, Krzysztof | Świa�tek, Jerzy

Article Type: Research Article

Abstract: In the paper five different models have been examined in order to test their ability to describe relationship between EMG and force moment generated by moving upper or lower limb. In system analysis point of view it can be utilised for diagnostic purpose i.e. conversing subjective methods using by physician to new one based on objective measured data.

Keywords: EMG-to-activation model, neural networks, neuro-fuzzy models, ARMAX, human elbow, spasticity

DOI: 10.3233/FI-2009-188

Citation: Fundamenta Informaticae, vol. 96, no. 4, pp. 465-475, 2009

Authors: Kotowski, Stefan | Kosiński, Witold | Michalewicz, Zbigniew | Synak, Piotr | Brocki, Łukasz

Article Type: Research Article

Abstract: Convergence of genetic algorithms in the form of asymptotic stability requirements is discussed. Some tools to measure convergence properties of genetic algorithms are introduced. A classification procedure is proposed that is based on the following conjecture: the entropy and the fractal dimension of trajectories of genetic algorithms produced by them are quantities that can characterize the algorithms. The role of these quantities as invariants of the algorithm classes is discussed together with the compression …ratio of points of genetic algorithms. Show more

Keywords: Genetic Algorithm, Classification, Convergence

DOI: 10.3233/FI-2009-189

Citation: Fundamenta Informaticae, vol. 96, no. 4, pp. 477-491, 2009