A block-structured model for banking networks across multiple countries

A Model for E-banking Trust In Iran’s Banking Industry

One of the crucial factors affecting success of e-banking services is customer’s trust. Acquiring customer trust depends on different variables that an e-banking struggles to control. This research aims to explain and clarify the inter-relationships and the interaction effects among customer’s online trust and other relevant factors such as satisfaction and loyalty in e-banking. We developed a ...

Block-structured recurrent neural networks

This paper introduces a new class of dynamic multi layer perceptrons, called Block Feedback Neural Networks (B F N). B F N have been developed to provide a systematic way to build networks of high complexity, including networks with coupled loops, nested loops and so on. B F Ns are speciied using a block notation. Any B F N can be seen as a block and connected to other B F Ns using a xed number...

A Block-Structured Model for Source Code Retrieval

The large amounts of software source code projects available on the Internet or within companies are creating new information retrieval challenges. Present-day source code search engines such as Google Code Search tend to treat source code as pure text, as they do with Web pages. However, source code files differ from Web pages or pure text files in that each file must follow a set of rules cal...

Completely random measures for modelling block-structured sparse networks

Statistical methods for network data often parameterize the edge-probability by attributing latent traits such as block structure to the vertices and assume exchangeability in the sense of the Aldous-Hoover representation theorem. These assumptions are however incompatible with traits found in real-world networks such as a power-law degree-distribution. Recently, Caron & Fox (2014) proposed the...

Banking in Transition Countries