Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Probabilistic Knowledge"”.
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Reasoning with models of probabilistic knowledge over probabilistic knowledge
In multi-agent systems, the knowledge of agents about other agents’ knowledge often plays a pivotal role in their decisions. In many applications, this knowledge involves uncertainty. This uncertainty may be about the state of the world or about the other agents’ knowledge. In this thesis, we …
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Belief change in probabilistic knowledge representations for open and dynamic computing environments
Theory refinement in Probabilistic Knowledge Representations is the task of up dating the Graphical Network structure in light of observations inconsistent with the current network structure. However, in the literature on Belief Change in Probabilis tic Knowledge Representations, theory refinement is …
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Reasoning with incomplete probabilistic knowledge : the RIP algorithm for de Finetti's fundamental theorem of probability
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 1995.
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An Approach For Scalable First-Order Rule Learning On Twitter Data
… such as ProbKB (a scalable system to construct probabilistic knowledge base) and XGBoost (extreme gradient boosting) on relational data.
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Real-time Multi-period truckload routing problems
… to repositioning strategies which exploit probabilistic knowledge about future demands. A new repositioning strategy is proposed here to provide better decisions. For both notions, extensive computational results are provided under a general simulation framework.
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Intrusion detection, intelligent agents, and soft computing
… damage to computer networks. Conventionally, knowledge-based or rule-based approaches are dominantly used for lntmsion detection tasks. Knowledge construction, especially for probabilistic knowledge, usually requires a large collection of significant representative samples. However, this is …
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Consonant landmark detection for speech recognition
… for each landmark point can be determined. A probabilistic knowledge-based algorithm is developed in three steps. First, landmark candidates are detected and their landmark types are classified based on changes in spectral amplitude. Next, a bigram model describing the physiologically-feasible …