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 6485 for “"Discovery"”.
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Lines of Discovery
An entry for the World Trade Center Memorial Competition was expanded upon as a study into the nature of design. The project influenced its own evolution and revealed exciting outcomes. The memorial is a reinforced concrete tower with an acrylic water tank at the top. The water tank acts as a prism …
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Market state discovery
We explore the concept of financial market state discovery by assessing the robustness of two unsupervised machine learning algorithms: Inverse Covariance Clustering (ICC) and Agglomerative Super Paramagnetic Clustering (ASPC). The assessment is carried out by: simulating market datasets varying in …
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The Dialectic of Discovery
311 p.
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Discovery Food - Culinary Architecture
What keeps places unique in times of globalization? If information, goods, food, architecture are the same everywhere, what`s the difference between places? What are people identifying with? Eating habits are a main factor of cultural identification. How can architecture contribute to these …
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A logic for entrepreneurial discovery.
A logic for entrepreneurial discovery.
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A Combined Motif Discovery Method
… In the efforts described here, a combined motif discovery method that uses mutual information and Gibbs sampling was developed. A new scoring schema was introduced with mutual information and joint information content involved. Simulated tempering was embedded into classic Gibbs sampling to avoid …
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Dependency discovery for data integration
… this thesis we propose algorithms for dependency discovery to provide necessary information for data integration. We focus on inclusion dependencies (INDs) in general and a special form named conditional inclusion dependencies (CINDs): (i) INDs enable the discovery of structure in a given schema. …
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Halogenated Heterocycles for Drug Discovery
Within a number of industries, and particularly within the pharmaceutical industry, there is a desire for reliable, high yielding routes towards large numbers of valuable small molecules that allow a wide range of products to be synthesised. Heterocyclic compounds are particularly sought after as …
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Probabilistic methods for drug discovery
… and domain knowledge driven task such as drug discovery. We also derive a generative topographic mapping (GTM) based data visualisation approach which estimates feature saliency simultaneously with the training of a visualisation model.
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Automatic discovery of complex causality
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2015-09-29 without embargo terms
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Coordinated energy efficient neighbor discovery
Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-07-22T12:06:32Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Carlson_John.pdf: 476543 bytes, checksum: e586d2134b755bd4f99ec7aa5ff608a8 (MD5) Carlson_John.pdf: 476543 bytes, checksum: …
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Automated taxonomy discovery and exploration
Made available in DSpace on 2022-04-29T21:46:14Z (GMT). No. of bitstreams: 3 SHEN-DISSERTATION-2021.pdf: 5883500 bytes, checksum: 5607a1a89aa788b354a3874073f53550 (MD5) LICENSE.txt: 4209 bytes, checksum: 97a10d8f09be2dfc512b5bb7b6942889 (MD5) PROQUEST_LICENSE.txt: 4555 bytes, checksum: …
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Causal discovery beyond Markov equivalence
… distributions. We refer to the task of causal discovery from such interventional data as interventional causal structure learning. In this setting, the key question is determining which variables should be intervened on to gain the most information. This is the first focus of this dissertation. …
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Generative Discovery via Reinforcement Learning
… computational models that mimic or exceed human discovery? Such computational models could greatly accelerate progress in science and engineering since they can automate or assist human scientists’ and engineers’ works and discover new knowledge more efficiently (e.g., new compounds, streamlining …
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Proteomics for cancer biomarker discovery
… to early detection of cancer and biomarker discovery.
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Multi-syllabic DNA motif discovery
This paper describes a method for finding multi-syllabic motifs in a genome. It expands on the algorithm developed by Takusagawa, et al[1, 2] that uses data from Chromatin Immuno-Precipitation (ChIP) experiments to isolate regions that have a given motif. The Takusagawa method uses an enumeration …
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Object discovery via layer disposal
A key limitation of semantic image segmentation approaches is that they require large amounts of densely labeled training data. In this thesis, we introduce a method to learn to segment images with unlabeled data. The intuition behind the approach is that removing objects from images will yield …
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State discovery for autonomous learning
This thesis is devoted to the study of algorithms for early perceptual learning for an autonomous agent in the presence of feedback. In the framework of associative perceptual learning with indirect supervision, three learning techniques are examined in detail: * short-term on-line memory-based …
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Negative information for motif discovery
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
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Motif discovery in sequential data
… and development of methods for the automated discovery of motifs in sequential data. These data include DNA sequences, protein sequences, and real-valued sequential data such as protein structures and timeseries of arbitrary dimension. As more genomes are sequenced and annotated, the need for …
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