The paper considers the problem of optimal sequential design for graphical models. Oil and gas exploration is the main application. Here, the outcomes at prospects or reservoir units are highly dependent on each other. The joint probability model for all node variables is considered known. As data is collected, this probability model is updated. The sequential design problem entails a dynamic s...

Laser range scanners have now the ability to acquire millions of 3D points of highly detailed and geometrically complex urban sites, opening new avenues of exploration in modeling urban environments. In the traditional modeling pipeline, range scans are processed off-line after acquisition. The slow sequential acquisition though is a bottleneck. The goal of our work is to alleviate this bottlen...

A Monte Carlo algorithm is said to be adaptive if it automatically calibrates its current proposal distribution using past simulations. The choice of the parametric family that defines the set of proposal distributions is critical for good performance. In this paper, we present such a parametric family for adaptive sampling on high-dimensional binary spaces. A practical motivation for this prob...

Territoriality, spatial exploration and social hierarchy are strictly related behaviors in gregarious fishes, often under-appreciated farms where the individuals confined within crowded spaces. In this study, we investigated role of exploration, elucidating importance time upon forming organization, territoriality gilthead seabream (Sparus aurata), using two experimental approaches. first appro...

Due to uncertain nature of grade in ore deposits, considering uncertainty is inevitable in geological modelling of resources and mine planning. In other words, uncertainty in grade of mineralized materials, is one of the most significant parameters need attention in mine planning. In this paper, a comparative procedure utilizing Sequential Gaussian Simulation (SGS) and traditional Ordinary Krig...

In present scenario almost every system and working is computerized and hence all information and data are being stored in Computers. Huge collections of data are emerging. Retrieval of untouched, hidden and important information from this huge data is quite tedious work. Data Mining is a great technological solution which extracts untouched, hidden and important information from vast databases...

The promise of reinforcement learning is to solve complex sequential decision problems autonomously by specifying a high-level reward function only. However, algorithms struggle when, as often the case, simple and intuitive rewards provide sparse deceptive feedback. Avoiding these pitfalls requires thoroughly exploring environment, but creating that can do so remains one central challenges fiel...

Contemporary FPGA-based reconfigurable systems have been widely used to implement data dominated applications. In these applications data transfer and storage consume a large proportion of the system energy. Exploiting data reuse can introduce significant power savings, but also introduces the extra requirement for on-chip memory. To aid data reuse design exploration early during the design cyc...