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In: Business driven information systems. 2008

Persistent link: https://www.econbiz.de/10004881036

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

Bootstrap planning: Theory and application

Chen, P.C. - 2008

We identify a general framework for weak planning called bootstrap planning, which is defined as global planning using only a local planner along with some memory for learning intermediate subgoals. We present a family of algorithms for bootstrap planning, and provide some initial theory on...

Persistent link: https://www.econbiz.de/10009436460

Loss-sensitive decision rules for intrusion detection and response

Wang, Jia - 2004

. The goal of the dissertation is to improve alert accuracy and to develop decision rules for alert response while … required by decision rule methodology. In addition, the scheme brings alert information from disparate sources together to … decision rule methodology for alert response to minimize the risks brought by online attacks. Since there is no way to …

Persistent link: https://www.econbiz.de/10009438759

Learning from collective preferences, behavior, and beliefs

Vaughan, Jennifer Wortman - 2009

Machine learning has become one of the most active and exciting areas of computer science research, in large part because of its wide-spread applicability to problems as diverse as natural language processing, speech recognition, spam detection, search, computer vision, gene discovery, medical...

Persistent link: https://www.econbiz.de/10009439011

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

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

Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing

West, Mike - 2010

We describe a class of sparse latent factor models, called graphical factor models (GFMs), and relevant sparse learning algorithms for posterior mode estimation. Linear, Gaussian GFMs have sparse, orthogonal factor loadings matrices, that, in addition to sparsity of the implied covariance...

Persistent link: https://www.econbiz.de/10009475411

Seer: Maximum likelihood regression for learning-speed curves

Kadie, Carl Myers - 1995

The research presented here focuses on modeling machine-learning performance. The thesis introduces Seer, a system that generates empirical observations of classification-learning performance and then uses those observations to create statistical models. The models can be used to predict the...

Persistent link: https://www.econbiz.de/10009477610

Expert decision support systems: Effects on performance of participants in the live hog futures markets

Narayanan, Nachiappan - 1993

application in the business domain is not without problems. Nevertheless, integration of Decision Support System (DSS) and Expert … System (ES) will improve decision maker capabilities and create more powerful and useful computer-based systems. The quality …EDSS can be used to improve the decision making performance of hog producers. Price forecasts can be valuable to the …

Persistent link: https://www.econbiz.de/10009477823