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Data Mining mit der Support Vektor Maschine
Lessmann, Stefan - 2007
Die kumulative Dissertation beschreibt in 14 Fachartikeln die sogenannte Support Vektor Maschine als eine aktuell diskutierte Methodik zur Lösung betriebswirtschaftlicher Klassifikationsprobleme. Die Klassifikation wird dabei als eine Aufgabenstellung des Data Minings verstanden, welches die...
Persistent link: https://www.econbiz.de/10009449649
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Matter and symbols of the artificial
Rocha, L.M. - 2009
The study of complex systems should be based on a systems-theoretic framework which requires both self-organizing and symbolic dimensions. An inclusive framework based on the notion of semiotics is advanced to build models capable of representing, as well as evolving in their environments, with...
Persistent link: https://www.econbiz.de/10009436399
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Bootstrap planning: Theory and application
Chen, P.C. - 2008
bootstrap planning, and provide some initial theory on their performance. In our theoretical analysis, we develop a random …
Persistent link: https://www.econbiz.de/10009436460
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Development of an optimal spatial decision-making system using approximate reasoning
Bailey, David Thomas - 2005
There is a recognised need for the continued improvement of both the techniques and technology for spatial decision support in infrastructure site selection. Many authors have noted that current methodologies are inadequate for real-world site selection decisions carried out by heterogeneous...
Persistent link: https://www.econbiz.de/10009437987
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Loss-sensitive decision rules for intrusion detection and response
Wang, Jia - 2004
When large numbers of alerts are reported by intrusion detection (ID) systems in very fine granularity, it prevents system administrators from handling the alerts effectively. This in turn degrades the usability of an intrusion detection system. Aside from detection, timely responses of...
Persistent link: https://www.econbiz.de/10009438759
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Learning from collective preferences, behavior, and beliefs
Vaughan, Jennifer Wortman - 2009
theory and practice. To that end, we present a series of new learning models and algorithms designed to address and … learning theory to examine the fundamental trade-offs that arise when aggregating preference data across many similar users to … learn a model of a single user's tastes. We introduce and analyze a computational theory of learning from collective …
Persistent link: https://www.econbiz.de/10009439011
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Empirically Testing the Impact of Recommender Agents on Online Consumer Purchasing Behavior
Hostler, Raymond Eric - 2007
recommender agent on the consumer's behavior during the need recognition phase of Consumer Buyer Behavior Theory. The results of …
Persistent link: https://www.econbiz.de/10009439428
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Privacy-Preserving Surveillance Using Selective Revelation
Sweeney, Latanya - 2005
Following the events of September 11, 2001, many in the American public falsely believe they must choose between safety and privacy. This paper proposes an approach to technology (termed “Selective Revelation”) that allows data to be shared for surveillance purposes such that shared data...
Persistent link: https://www.econbiz.de/10009441111
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A unified framework for resource-bounded autonomous agents interacting with unknown environments
Ortega, Pedro Alejandro Jr - 2011
utility (SEU) theory, the framework of decision making under uncertainty; (b) the maximum SEU principle to choose the optimal …. Learning includes: (a) Bayesian probability theory, the theory for reasoning under uncertainty that extends logic; and (b …) Bayes-Optimal agents, the application of Bayesian probability theory to the design of optimal adaptive agents. Then, two …
Persistent link: https://www.econbiz.de/10009441986
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Development of models for short-term load forecasting using artificial neural networks
Amakali, Simaneka - 2008
Optimal daily operation of electric power generating plants is very essential for any power utility organization to reduce input costs and possibly the prices of electricity in general. For a fossil fuel – fired power plant for example, the benefits of power generation optimalization (i.e....
Persistent link: https://www.econbiz.de/10009447198