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 20 for “"automatic learning"”.
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Automatic learning from process data using neural network based methodologies
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1998.
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Computational Models for the Automatic Learning and Recognition of Irish Sign Language
This thesis presents a framework for the automatic recognition of Sign Language sentences. In previous sign language recognition works, the issues of; user independent recognition, movement epenthesis modeling and automatic or weakly supervised training have not been fully addressed in a single …
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Data driven learning for feature binding and perceptual grouping with the Competitive Layer Model
… or segmentation problems from the field of automatic image processing. It is motivated by natural grouping principles which can be observed in human visual perception, like the Gestalt laws of proximity, similarity and closture. These principles are implemented by pairwise interactions …
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Energy-efficient information inference in wireless sensor networks based on graphical modeling
… Our MRF model is first constructed through automatic learning from historical sensed data, by using Iterative Proportional Fitting (IPF). When the MRF model is constructed, Loopy Belief Propagation (LBP) is then employed to perform information inference to estimate the missing data given …
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MADM Framework for Strategic Resource Planning of Electric Utilities
… this study are summarized as follows. First, an automatic learning method is introduced for decision data expansion aiming at reducing the amount of computations involved in the creation of decision database. Test results have shown that the proposed method is feasible, easy to implement, and …
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Driving story generation with learnable character models
… of creating new and interesting stories by learning from a corpus of human-written stories. The design of robust learnable character models facilitated this generation system. The character models are capable of handling characters that span a number of genres including romantic comedies, …
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A framework for hybrid dynamic evolutionary algorithms : multiple offspring sampling (MOS)
… the mechanisms offered by MOS. Additionally, the automatic learning of these hybridization strategies by means of Reinforcement Learning mechanisms has also been studied. To conclude, the proposed framework has been tested on a set of well-known problems, from both discrete and continuous domains, …
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A Real-Time and Automatic Ultrasound-Enhanced Multimodal Second Language Training System: A Deep Learning Approach
… pedagogical tools for pronunciation teaching and learning, such as inefficient, traditional pronunciation instructions like listening and repeating. Recently, electronic visual feedback (EVF) systems (e.g., medical ultrasound imaging) have been exploited in new approaches in such a way that they …
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Embodied interaction with visualization and spatial navigation in time-sensitive scenarios
… has the potential to promote thinking and learning according to the theory of embodied cognition proposed by Lakoff. Additionally, the hybrid human-machine system utilizing natural and intuitive communication channels (e.g., gestures, speech, and body stances) should afford an array of …
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Joint Training Methods for Tandem and Hybrid Speech Recognition Systems using Deep Neural Networks
… acoustic modelling approach for state-of-the-art automatic speech recognition (ASR) systems over the past few decades. Recently, due to the rapid development of deep learning technologies, deep neural networks (DNNs) have become an essential part of nearly all kinds of ASR approaches. Among …
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LearnAir : toward intelligent, personal air quality monitoring
… principles of the device are robust, machine learning techniques should be able to predict systematic measurement failure based on a handful of related indicators. In this thesis, we test and demonstrate the potential for logistic regression machine learning techniques to predict and classify …
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A framework for semantic web implementation based on context-oriented controlled automatic annotation.
… for a successful implementation as the automatic production of the semantically annotated document, and the creation and maintenance of semantic based knowledge base. This research proposes a framework for Semantic Web implementation based on context-oriented controlled automatic …
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A framework for semantic web implementation based on context-oriented controlled automatic annotation.
… for a successful implementation as the automatic production of the semantically annotated document, and the creation and maintenance of semantic based knowledge base. This research proposes a framework for Semantic Web implementation based on context-oriented controlled automatic …
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Reconeixement d'accions mitjançant visió artificial per teleassistència
The continued aging of the population has made in recent years gives rise to special interest research and development of systems that help increase the quality of life of older persons without involving an unsustainable spending by the social security system. In this context, telecare has …
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Análisis, diseño y aplicación de modelos de diálogo flexibles, contextuales y dinámicos basados en redes bayesianas
… necessary to do so). The main idea is to automatically detect what concepts are needed (available or not), erroneous or optional in relation to the objectives inferred. Thus the dialogue could go towards the production of messages requesting items that are accurate, clarifying the …