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Bestsellers

Linear Algebra and Optimization with Applications to Machine Learning
Linear Algebra and Optimization with Applications to Machine Learning

Volume I: Linear Algebra for Computer Vision, Robotics, and Machine Learning
by Jean Gallier and Jocelyn Quaintance
Linear Algebra and Optimization with Applications to Machine Learning
Linear Algebra and Optimization with Applications to Machine Learning

Volume II: Fundamentals of Optimization Theory with Applications to Machine Learning
by Jean Gallier and Jocelyn Quaintance

 

  • articleNo Access

    Ontology-Based Information Flow Control of Network-Level Internet Communication

    Information flow control on the Internet is a desirable feature when it comes to content such as neo-Nazi propaganda, child pornography, or material showing extreme violence or crimes. In order to provide for a flexible control of information flow on the Internet, we present the pattern system InFO (short for: Information Flow Ontology). InFO provides a common support for different enforcing systems such as routers, proxies, or name servers by abstracting from existing as well as possible future regulation types. Thus, unlike existing solutions, InFO provides information flow control on the Internet-layer, transport-layer, as well as application-layer. In addition, InFO allows for linking the technical implementation of a flow control policy with a human-readable representation including its legal background (law) and organizational motivation (code of conduct). Besides a detailed description of the pattern system, we also provide various examples demonstrating the practical applicability of InFO. InFO has been implemented for name servers, routers, as well as application-level proxy servers. Its source code is available to the public.

  • chapterNo Access

    Chapter 15: Pricing Fair Deposit Insurance: Structural Model Approach

    In this chapter, we propose the structural model in terms of the Stair Tree model and barrier option to evaluate the fair deposit insurance premium in accordance with the constraints of the deposit insurance contracts and the consideration of bankruptcy costs. First, we show that the deposit insurance model in Brockman and Turle (2003) is a special case of our model. Second, the simulation results suggest that insurers should adopt a forbearance policy instead of a strict policy for closure regulation to avoid losses from bankruptcy costs. An appropriate deposit insurance premium can alleviate potential moral hazard problems caused by a forbearance policy. Our simulation results can be used as reference in risk management for individual banks and for the Federal Deposit Insurance Corporation (FDIC).