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 11 of 11 for “"Distributed representation"”.
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Distributed representation and analysis of visual motion
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993.
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Analysis of The Distributed Representation of Operant Memory In Aplysia
<p>Operant conditioning, a ubiquitous form of learning in which animals learn from the consequences of behavior, engages a high-dimensional neuronal population space spanning multiple brain regions. A complete characterization of an operant memory remains elusive. Some sites of plasticity …
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EVALUATING DISTRIBUTED WORD REPRESENTATIONS FOR PREDICTING MISSING WORDS IN SENTENCES
<p>In recent years, the distributed representation of words in vector space or word embeddings have become very popular as they have shown significant improvements in many statistical natural language processing (NLP) tasks as compared to traditional language models like Ngram. In this thesis, we …
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A computational model of routine procedural memory
… behavior. They argued in favor of holistic, distributed representation of learned step co-occurrence associations. Two experiments found that people can adapt routine procedural behavior to changing circumstances quite readily and that other factors besides statistical co-occurrence can have …
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Representation learning on heterogeneous spatiotemporal networks
<p>“The problem of learning latent representations of heterogeneous networks with spatial and temporal attributes has been gaining traction in recent years, given its myriad of real-world applications. Most systems with applications in the field of transportation, urban economics, medical …
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Quo Vadis - a framework for intelligent routing in large communication networks
… among nodes in the network. It employs a distributed representation of network state information using local load measurements supplemented by a less precise global summary. Routing decisions in Quo Vadis are based on parameterized heuristics designed to optimize various performance …
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Federated self-supervised learning
… learning (SSL) enables the acquisition of representations from unlabelled data, which can subsequently be employed to address various downstream tasks. Integrating SSL with FL presents considerable advantages beyond privacy-preserving training, including robust distributed representation …
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Evolution as a design tool to inform biomolecular engineering
… from mutual information and a continuous distributed representation of protein sequence. 2) A methodology incorporating statistics on the structural information of disulfide bonds in conjunction with evolutionary patterns to rank order specific design choices. A similar approach was …
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On the 3D point cloud for human-pose estimation
… The distributions in the manifolds are then redistributed according to the stationary distribution of a Markov chain that models the frequency of human actions. After the redistribution, the manifolds are combined according to a probability distribution determined by action classification. …
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Low-rank estimation and embedding learning: theory and applications
… by a low-dimensional vector, called embedding or distributed representation. In the first application, the heterogeneity of the objects is considered. Based on the observation that several interactions among the strongly-typed objects happen simultaneously as an event, the embeddings of objects in …