In this paper we present an integrated framework for neural network optimization. The problem of a nding a sensible topology and a good set of parameters is resolved by intertwining two processes: topology optimization and parameter adjustment, both embedded in an evolutionary search algorithm. EEcient evolutionary operators can be implemented based on stochastic methods like mutual information...

Workflows are used nowadays in different areas of application. Emergency services are one of these areas where explicitly defined workflows help to increase traceability, control, efficiency, and quality of rescue missions. In this paper, we introduce a generic workflow model for describing fire fighting operations in different scenarios. Based on this model we also describe heuristics for calc...

We present here a compact overview of the data, models and methods proposed for the analysis of biological networks based on the search for significant repetitions. In particular, we concentrate on three problems widely studied in the literature: 'network alignment', 'network querying' and 'network motif extraction'. We provide (i) details of the experimental techniques used to obtain the main ...

Complex data types (e.g., images, documents, DNA sequences, etc) are becoming increasingly important in database applications. The term multimedia database is often used to characterize such databases. A typical query for such data seeks to nd objects that are similar to some target object, where (dis)similarity is de ned by some distance function. Often, the cost of evaluating the distance of ...

The purpose of discussed optimal valid partitioning (OVP) methods is uncovering of ordinal or continuous explanatory variables effect on outcome variables of different types. The OVP approach is based on searching partitions of explanatory variables space that in the best way separate observations with different levels of outcomes. Partitions of single variables ranges or two-dimensional admiss...

Lifetime estimation is one of today's frequently used reliability testing tool. There are standardized test methods, mathematical apparatus and failure acceleration models for predicting failure rate of electronic components, circuit modules or equipment. Do the widespread used models give a precise description for all kind of failure mechanisms? Can they define the acceleration factor of any t...

The thesis examines three novel structural similarity methods that employ a network of simple auto-associative neural networks for storing structural information about databases of molecular graphs. This information can be used to discover similarities from a query graph to any of the graphs in the model database. The fast learning and recall ability of the neural network facilitates efficient ...

Complex data types—such as images, documents, DNA sequences, etc.—are becoming increasingly important in modern database applications. A typical query in many of these applications seeks to find objects that are similar to some target object, where (dis)similarity is defined by some distance function. Often, the cost of evaluating the distance between two objects is very high. Thus, the number ...