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 20 of 40 for “"Inference Engine"”.
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User adaptive Web morphing : an implementation of a Web-based Bayesian inference engine with Gittins' Index
… the process of building the Mathematical Inference Engine of a Web Morphing System that gives a Web site the ability to adapt itself to individual users. First, I will briefly discuss the history and motivation of Morphing. Then, I will discuss the theory of Morphing from the work of …
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Adaptive Radio Resource Management in Cognitive Radio Communications using Fuzzy Reasoning
… CR makes its decisions using an inference engine, which can learn and adapt to changes in radio conditions. Fuzzy logic (FL) is the proposed decision-making algorithm for controlling the CR's inference engine. Fuzzy logic is well-suited for vague environments in which incomplete …
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Optimizing Traffic Network Signals Around Railroad Crossings
… phase sequence to promote HRGC safety. An inference engine is designed in place of traditional traffic signal preemption calls to prevent the queue from backing onto HRGC. The potential hazard is dynamically examined as to whether any queuing vehicle stalls on railroad tracks. The inference …
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Enabling Usage Pattern-based Logical Status Inference for Mobile Phones
… have been extensively studied for logical status inference, continuous usage typically requires formidable energy consumption, which degrades the user experience. In this thesis, we argue that smartphone usage statistics can be used for logical status inference with negligible energy cost. To …
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Inferring Signal Transduction Pathways from Gene Expression Data using Prior Knowledge
… in an unknown manner. Here, I develop the Beacon inference engine to address these computational challenges. This software engine employs a network inference approach to predict new edges. First, it uses mutual information and context likelihood relatedness to predict edges from gene expression …
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A context-aware method for verifying user identity in pervasive computing environments
… opinions and casting that knowledge into a fuzzy inference engine. The inference engine makes the system capable of taking decisions in a similar way to that of experienced security personnel. The output of the inference engine is a trust value which reflects how much trust the system has in the …
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Real-time adaptive morphing website modeled per user and optimized across users
… are the website controller, the Bayesian Inference Engine, and the Gittins' Optimization Engine. The website controller acts as the interface between the user input and the mathematical modeling of the user's cognitive styles. It uses the Bayesian Engine to update the model and the …
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Dynamic Invariant Generation for Concurrent Programs
… thread interleaving explorer, and a customized inference engine inside Daikon. We have evaluated the resulting system on public domain multithreaded C/C++ benchmarks. Our experiments show that the new method is effective in generating high-quality invariants. Furthermore, the state and …
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Integration of Navigation with a Behavioural Control Scheme
… using a modified zero order Sugeno fuzzy inference engine. Animals are examined as a model of intelligent behaviour and behavioural control implementations discussed and compared. The features and the requirements of a behavioural control implementation are identified and modifications to …
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StreetScenes : towards scene understanding in still images
… of the image content, the selection of inference engine, and the representation of the relations between objects. The main test-bed for our system is the CBCL StreetScenes data base. It is a carefully labeled set of images, much larger than any similar data set available at the time it …
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Design of a goal ontology for medical decision-support
… ontology along with an external ontology inference engine to simulate selection of clinical recommendations based on goals. The ontology instances used in the simulation were modeled from two clinical guidelines. Testing the design: Thirty-two clinical recommendations were encoded in the …
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Structured support vector machines learning and application in computer vision
… graph cuts is conveniently integrated as the inference engine to attain the optimal label assignment efficiently. Our approach allows learning a model with thousands of parameters, which is further facilitated by parallel computation in the learning phase. In addition to node and edge feature …
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Structured support vector machines learning and application in computer vision
… graph cuts is conveniently integrated as the inference engine to attain the optimal label assignment efficiently. Our approach allows learning a model with thousands of parameters, which is further facilitated by parallel computation in the learning phase. In addition to node and edge feature …
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Automated Cardiac Rhythm Diagnosis for Electrophysiological Studies, an Enhanced Classifier Approach
… neural network, support vector machine and inference engine classifiers developed using Matlab showed good performance and were combined as a production system in a mixture-of-experts multi-classifier system. 18 different rhythms were classified, with the naïve Bayes classifier used to …
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Designing and developing a robust automated log file analysis framework for debugging complex system failure
As engineering and computer systems become larger and more complex, additional challenges around the development, management and maintenance of these systems materialize. While these systems afford greater flexibility and capability, debugging failures that occur during the operation of these …
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Detecting and Modelling Stress Levels in E-Learning Environment Users
… neural network and adaptive neuro-fuzzy inference system. The best classifier was then integrated into the ITS stress inference engine, which is designed to decide necessary adaptation, and to provide analytical information of learners' performances, which include stress levels and …
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Desarrollo e implementación de un motor de inferencias basado en lógica borrosa para el razonamiento inexacto incierto e impreciso en sistemas expertos basados en reglas
… and computational implementation of an inference engine based on an strict fuzzy logic, with the only limitation of imprecise quantifiers, for the treatment of uncertainty and imprecision in Rule-based Expert Systems. The logical model is based on a generalization of the infinite …
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Virginia Integrated Pest Management Expert for Wheat
… rules, demons, and "when-changed" methods. The inference engine analyzes specific crop system information entered by the user to determine potential risks of outbreak for wheat crop pests common to Virginia. These potential outbreak risks are presented as low, medium, and high levels of risk and …
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PClean : Bayesian data cleaning at scale with domain-specific probabilistic programming
… cleaning is naturally framed as probabilistic inference in a generative model, combining a prior distribution over ground-truth databases with a likelihood that models the noisy channel by which the data are filtered, corrupted, and joined to yield incomplete, dirty, and denormalized datasets. …
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Development of expert systems as on-line operational aids
… the individual computational components of the inference engine (pattern matching, conflict resolution, and actions) and partitioning rules into groups performing different tasks in the decision-making. The worst case time is obtained by combining the costs of each of these tasks. This research …
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