this paper examines mean reversion in the real exchange rate (RER) index of Australia in the presence of structural breaks from 1984 quarter 1 till 2011 quarter 1. Testing for mean reversion in RER is one way of testi...
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this volume constitutes the refereed proceedings of two workshops: the international Cross-Domain conference and Workshop on Availability, Reliability and Security, CD-ARES 2014, and the 4thinternational Workshop on ...
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ISBN:
(数字)9783319109756
ISBN:
(纸本)9783319109749
this volume constitutes the refereed proceedings of two workshops: the international Cross-Domain conference and Workshop on Availability, Reliability and Security, CD-ARES 2014, and the 4thinternational Workshop on Security and Cognitive Informatics for Homeland Defense, SeCIHD 2014, co-located withthe internationalconference on Availability, Reliability and Security, ARES 2014, held in Fribourg, Switzerland, in September 2014. the 23 revised full papers presented were carefully reviewed and selected from numerous submissions. the papers deal with knowledge management, software security, mobile and social computing, enterprise information systems, homeland security and information processing.
Approximate policy evaluation with linear function approximation is a commonly arising problem in reinforcement learning, usually solved using temporal difference (TD) algorithms. In this paper we introduce a new vari...
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Ability to provide convenient access to scientific documents becomes a difficult problem due to large and constantly increasing number of incoming documents and extensive manual work associated withtheir storage, des...
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ISBN:
(纸本)0769524958
Ability to provide convenient access to scientific documents becomes a difficult problem due to large and constantly increasing number of incoming documents and extensive manual work associated withtheir storage, description and classification. this requires intelligent search and classification capabilities for users to find required information. It is especially true for repositories of scientific medical articles due to their extensive use, large size and number of new documents, and well maintained structure. this research aims to provide an automated method for classification of articles into the structure of medical document repositories, which would support currently performed extensive manual work. the proposed method classifies articles from the largest medical repository, MEDLINE, using state of the art data mining technology. the method is based on a novel associative classification technique which considers recurrent items and most importantly multi-label characteristic of the MEDLINE data. Based on large scale experiments that utilize 350,000 documents several different classification algorithms have been compared including both recurrent and non-recurrent associative classification. the algorithms are capable of assigning each medical document to several classes (multi-label classification) and are characterized by relatively high accuracy. We also investigate different measures of classification quality and point out pros and cons of each. Based on experimental result we show that recurrent item based associative classification demonstrates superior performance and propose three alternative setups that allow the user to obtain different desired classification qualities.
Online investment applications are digital applications that support investors in investing, allowing investors to obtain information, sell and buy the investment products they want. In 2020, there will be a COVID-19 ...
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We introduce a disaster-zone-monitoring web-based application. While using this application, the user may simulate different large-scale disaster zones. He may use tools to define a disaster zone and its communication...
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In this paper, we introduce a new kind of software tools intended to offer a virtual educational and/or training environment online: proactive e-Learning Management systems. these computational intelligence based syst...
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ISBN:
(纸本)9783540748267
In this paper, we introduce a new kind of software tools intended to offer a virtual educational and/or training environment online: proactive e-Learning Management systems. these computational intelligence based systems are designed to improve the users' online (inter)actions by providing programmable, automatic and continuous intelligent analyses of the users' behaviors, augmented with appropriate actions initiated by the LMS itself. We show how we implemented the proactive part of our LMS on the basis of a dynamic rules-based expert system. We also sketch how it looks like from a user's point of view. Finally, We give some examples of intelligent analysis of users' behaviors coded into proactive rules.
the proceedings contain 17 papers. the topics discussed include: inducing human-like motion in robots;making organizations pervasive using existing infrastructure: case study of a university;an assistive device for ma...
ISBN:
(纸本)1595930361
the proceedings contain 17 papers. the topics discussed include: inducing human-like motion in robots;making organizations pervasive using existing infrastructure: case study of a university;an assistive device for managing urinary incontinence;news headlines: what they can tell us?;discovering shortest path between points in cerebrovascular system;impact of news articles on stock prices: an analysis using machine learning;a secure and efficient biometric authentication as a service for cloud computing;UMAC: a universal MAC protocol for wireless networks;a scheme for automated evaluation of programming assignments using FSMD based equivalence checking;role of correspondence analysis in network traffic flow analysis;policy gradient reinforcement learning for solving supply-chain management problems;entropy regularization for topic modelling;augmented reality application: cloud based augmented reality android application to 'know your world better';decisions under drift: adapting binary decision thresholds to drifts in test distribution;and low cost internet of things based vehicle parking information system.
this paper aims to develop an appropriate model for taking duty considerations into account when planning a strategic production network. To this end, special emphasis is placed on mapping inward and outward processin...
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the proceedings contain 104 papers. the topics discussed include: mathematical modelling of microbolometers at oblique incidence;cloud computing and internet of things fusion: cost issues;toroidal vector-potential tra...
ISBN:
(纸本)9781509065264
the proceedings contain 104 papers. the topics discussed include: mathematical modelling of microbolometers at oblique incidence;cloud computing and internet of things fusion: cost issues;toroidal vector-potential transformer;compensation techniques for geophone response used as vibration sensor in seismic applications;long term magnetic sensor system reliability assessment;a bio-inspired secure ipv6 communication protocol for internet of things;design and evaluation of a wireless sensor system for remote mechanical parts monitoring;real time monitoring and recognition of eating and physical activity with a wearable device connected to the eyeglass;self adjustable daylight sensor for lighting systems;an FFT-based high-speed spindle monitoring system for analyzing vibrations;robust feature extraction for face recognition based on ultrasonic sensing;an inertia based sensor with dynamic PUF;WiField, an IEEE 802.11-based agricultural sensor data gathering and logging platform;Wheatstone bridge approach to the inspection of composite materials;development of the selectivity of nitrate sensors based on ion imprinted polymerization technique;and development and application of an orthodontic near infrared photometer and thermometer.
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