Recent years have seen the flowering of “experimental” mathematics, namely the utilization of modern computer technology as an active tool in mathematical research. This development is not limited to a handful of researchers, nor to a handful of universities, nor is it limited to one particular field of mathematics. Instead, it involves hundreds of individuals, at many different institutions, w...

The electroseismic method offers the possibility of imaging thin (much smaller than the seismic wavelength) layers in the subsurface. We have collected electroseismic data in the field using a standard seismograph outfitted with electrode pairs rather than geophones, and a sledge hammer and other seismic sources. Removal of coherent source-generated noise is an essential step in the processing ...

In this paper, we propose a primal IP method for solving the optimal experimental design problem with a large class of smooth convex optimality criteria, including A-, Dand pth mean criterion, and establish its global convergence. We also show that the Newton direction can be computed efficiently when the size of the moment matrix is small relative to the sample size. We compare our IP method w...

Many poor countries remain trapped in a cycle of poverty and environmental degradation. Understanding how people react to existing and proposed solutions most likely can be improved using the methods of experimental economics. Experiments provide researchers a method to test theory, look for patterns of behavior, testbed economic institutions and incentives, and to educate people. Herein we exp...

Dynamic approaches to a management system of the present industrial practice, forcing businesses to address management issues in-house continuous improvement of production and non-production processes. Experience has repeatedly demonstrated the need for a system approach not only in analysis but also in the planning and actual implementation of these processes. Therefore, the contribution is fo...

Successful face analysis requires robust methods. It has been hard to compare the methods due to different experimental setups. We carried out a comparison study for the state-of-the-art gender classification methods to find out their actual reliability. The main contributions are comprehensive and comparable classification results for the gender classification methods combined with automatic r...

Three different uses of a recurrent neural network (RNN) as a reservoir that is not trained but instead read out by a simple external classification layer have been described in the literature: Liquid State Machines (LSMs), Echo State Networks (ESNs) and the Backpropagation Decorrelation (BPDC) learning rule. Individual descriptions of these techniques exist, but a overview is still lacking. He...

The subject area covered by this review is a large and important one and to do it full justice would require a larger format than is available here. However, an attempt is made to outline the history of some of the more important developments and to include most major techniques. Taylor impact, Hopkinson bar testing in its various forms and 1-D plate impact are all considered in some detail. Hi...

Classification is one of the ubiquitous problems in Artificial Intelligence. It is present in almost any application where Machine Learning is used. That is the reason why it is one of the Machine Learning issues that has received more research attention from the first works in the field. The intuitive statement of the problem is simple, depending on our application we define a number of differ...