This paper presents an original hybrid MLP-SVM method for unconstrained handwritten digits recognition. Specialized Support Vector Machines (SVMs) are introduced to improve significantly the MLP performances in local areas around the separation surfaces between each pair of digit classes, in the input pattern space. This hybrid architecture is based on the idea that the correct digit class almo...

Security analysis is growing in complexity with the increase in functionality, connectivity, and dynamics of current electronic business processes. To tackle this complexity, the application of models in pre-operational phases is becoming standard practice. Runtime models are also increasingly applied to analyze and validate the actual security status of business process instances. In this pape...

The graphical structure of a Bayesian network (BN) makes it a technology wellsuited for developing decision support models from a combination of domain knowledge and data. The domain knowledge of experts is used to determine the graphical structure of the BN, corresponding to the relationships and between variables, and data is used for learning the strength of these relationships. However, the...

Knowledge management has inspired a shift from a transaction to a distributed knowledge management (DKM) perspective on interorganizational information processing. The DKM concept structures the knowledge creation, knowledge sharing and knowledge exploitation in organizations according to a product state model (PSM) required for management of technological diversity. Each player in the network ...

The aim of this investigation is to develop unified models of complex technological process as controlled object states knowledge presentation; methods, algorithms and system of complex technological process states monitoring (situation assessment) programs automatic synthesis according to preset target and capability of verification and optimisation considered; special software prototype reali...

The differences between self-reported and observed emotion have only marginally been investigated in the context of speech-based automatic emotion recognition. We address this issue by comparing self-reported emotion ratings to observed emotion ratings and look at how differences between these two types of ratings affect the development and performance of automatic emotion recognizers developed...

This article discusses the prospects for the development of the implementation of scientific and technical cooperation. On the example of international cooperation between Ukraine and Chile, there are approaches to improving the procedure for developing cooperation priorities. The current state of these relations does not reflect real trends in the development of international economic relation...

The study investigated challenges to soil erosion control measures among farmers in Anambra State, Nigeria. Purposive, multistage and random sampling techniques were employed in selecting a sample size of two hundred and forty (240) respondents. Structured interview schedule was used for data collection. Frequency counts, percentage, mean scores and factor analysis were used for data analysis. ...

We present a simple mathematical model for river pollution a n i n v e s t i g a t e effect of aeration on the degradation of pollutant. The model consists of a pair of coupled reaction-diffusion-advection equations for the pollutant and dissolved oxygen concentrations, respectively. The coupling of these equations occurs because of reactions between oxygen and pollutant to produce harmless com...

We propose a statistical learning model for classifying cognitive processes based on distributed patterns of neural activation in the brain, acquired via functional magnetic resonance imaging (fMRI). In the proposed learning method, local meshes are formed around each voxel. The distance between voxels in the mesh is determined by using a functional neighbourhood concept. In order to define the...