People familiar with an urban environment share common spatial knowledge enabling, for instance, successful communication about places and routes. Mental representations of this spatial knowledge, as well as reasoning and communication processes are organized hierarchically. This paper introduces a hierarchical model of urban street networks motivated by shared experience of space. This model i...

Loss Given Default (LGD) is the loss borne by the bank when a customer defaults on a loan. LGD for unsecured retail loans is often found difficult to model. In the frequentist (nonBayesian) two-step approach, two separate regression models are estimated independently, which can be considered potentially problematic when trying to combine them to make predictions about LGD. The result is a point...

In recent years, variants of a neural network architecture for statistical language modeling have been proposed and successfully applied, e.g. in the language modeling component of speech recognizers. The main advantage of these architectures is that they learn an embedding for words (or other symbols) in a continuous space that helps to smooth the language model and provide good generalization...

Graph Properties and Retrieval We investigate the information that is contained in the structure of a topology preserving neural network. We consider a topological map as a graph G, propose certain properties of the structure and formulate the respective expectable results of network interpretation. The scenario we deal with is the nearest-neighbor approach to classification. The problems are t...

In this paper, an optimized hierarchical B-spline network was employed to detect the breast cancel. For evolving a hierarchical B-spline network model, a tree-structure based evolutionary algorithm and the Particle Swarm Optimization (PSO) are used to find an optimal detection model. The performance of proposed method was then compared with Flexible Neural Tree (FNT), Neural Network (NN), and W...

Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to the rest of the network. In addition, such communities are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. Discovering the complicated hierarchical communit...

conclusions the most effected parts in asd are lateral connections of hmasd. two-sided connections which are completely symmetric become more active, and cause extra synchronization. on the other hand, due to special characteristic of two-sided connections and their ability to simulate the same phased dynamics, they cause unnatural asymmetry in children’s eeg signal. these results are consisten...

There isn’t a single authorative definition of a hierarchical model. Gelman et al. (1995) discuss two definitions: 1. “Estimating the population distribution of unonobserved parameters” 2. “Multiple parameters related by the structure of the problem” Intuitively, knowing something about one “experiment” tells us something about another. For example: Multiple similar experiments Similar measurem...