Browse by Subject "Artificial Intelligence"

  • Halim, Irwan Suwarno (1991)
    A methodology to evaluate the reliability of geotechnical systems considering the presence of geological anomalies is developed. The proposed methodology consists of three major tasks: (i) modeling of the anomaly uncertainties ...

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  • Chun, Hon Wai (1987)
    Traditional artificial intelligence (AI) research has concentrated mostly on modeling high-level thought processes such as problem-solving and planning, and high-level representations such as rule-based heuristics and ...

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  • Haddawy, Peter Fahrid (1991)
    As the limitations of traditional AI plan representations have become apparent, researchers have turned to temporal logic as one means of providing rich languages for structuring planning knowledge. But these languages ...

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  • Lee, Kuang-Chih (2005)
    While the techniques have been applied to human faces, the presented approximations to the appearance manifold are general and can be applied to other classes of objects.

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  • Do, Hiep; Dominiquez, Luis; Mason, Margaret; Wen, Jeff (2006-05-15)
    This project investigates the live subject research at the University of Illinois in the cognitive sciences field and focuses on the role of this research in furthering the development of artificial intelligence. The authors ...

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  • Cheng, Peng (2005)
    Since differential constraints which restrict admissible velocities and accelerations of robotic systems are ignored in path planning, solutions for kinodynamic and non-holonomic planning problems from classical methods ...

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  • 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 ...

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  • Jouse, Wayne Curtis (1992)
    The risk reduction potential of the class of artificial neural networks based on the Barto-Sutton architecture is established. The risk associated with nuclear power operations is characterized by sequences of discrete ...

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  • Ding, Zhimin (1996)
    Sensory feedback plays an important role in adaptive control of insect leg movements as required, for example, in agile locomotion over irregular terrain. Functionally, insect legs are not just effectors--they are also ...

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  • Chen, Yixin (2005)
    Our partition-and-resolve approach has achieved substantial improvements over existing methods in AI planning and mathematical programming. We have applied our method to solve some large-scale AI planning problems, as well ...

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  • Zhang, Tong (2004)
    Moreover, this study tries to acknowledge the role of speech in SLU. The existing semantic analysis of speech is usually achieved through text transcription. However, human interpretation of speech and text is via different ...

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  • Joshi, Tanuja Abhay (1995)
    The main focus of research in computer vision in the past has been on polyhedral objects that give rise to viewpoint-independent edges in the image. This thesis focuses on smooth curved objects that give rise to ...

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  • Reinke, Robert Eugene (1991)
    Clustering is the problem of finding a good organization for data. Because there are many kinds of clustering problems, and because there are many possible clusterings for any data set, clustering programs use knowledge ...

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  • Whitehurst, R. Alan (1995)
    This research focuses on analogical reasoning as applied to the problem of software reuse at the level of the system architecture. The resulting methodology may be thought of as a hybrid approach to software reuse, as it ...

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  • Thearling, Kurt Henry (1990)
    In the past, research has shown that the use of high-level test knowledge can be used to greatly accelerate the test generation process. The problem was that no techniques were developed to extract this knowledge from a ...

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  • Laud, Adam Daniel (2004-05)
    Applying conventional reinforcement to complex domains requires the use of an overly simplified task model, or a large amount of training experience. This problem results from the need to experience everything about an ...

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  • Hsu, William Henry (1998)
    The purpose of this research is to extend the theory of uncertain reasoning over time through integrated, multi-strategy learning. Its focus is on decomposable, concept learning problems for classification of spatiotemporal ...

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  • Tu, Pei-Lei (1989)
    The objective of this thesis is to design a new classification-tree algorithm which will outperform current algorithms with superior decision trees. The problem of generating a classification tree with the minimum path ...

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  • Levine, Geoffrey C. (2012-02-06)
    In order for a machine learning effort to succeed, an appropriate model must be chosen. This is a difficult task in which one must balance flexibility, so that the model can capture the complexities of the domain, and ...

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  • Li, Xin (2005)
    In addition to entity identification, we also extend the generative probabilistic model to address a significant application that are related to concept-based text understanding and mining---semantic integration between ...

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