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topics were developed in accordance with the model proposed in Logistics, Strategy and Structure: A Conceptual Framework … the selected sample. Section II of the survey posed questions directly dealing with logistics costs, competitive advantage …, strategy and performance.With regard to logistics costs, the research sought to determine the most significant costs, as …
Persistent link: https://www.econbiz.de/10009431288
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
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
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
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
and privacy. This paper proposes an approach to technology (termed “Selective Revelation”) that allows data to be shared … replaced with technology that makes these decisions for broader surveillance purposes. …
Persistent link: https://www.econbiz.de/10009441111
real forecasting application. These models are tested using actual load data of the Cape Peninsula University of Technology …
Persistent link: https://www.econbiz.de/10009447198
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
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
Although expert systems technology that takes advantage of artificial intelligence techniques is very powerful, its …The purpose of this research is to investigate whether Expert Decision Support System (EDSS) technology, incorporating …
Persistent link: https://www.econbiz.de/10009477823