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 12 of 12 for “"Symbolic data."”.
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Solution of Large Markov Models Using Lumping Techniques and Symbolic Data Structures
… respectively. We have also combined the use of symbolic data structures with state-lumping techniques to develop an efficient symbolic state-space exploration algorithm for state-sharing composed models that exploits lumpings that are due to equally behaving components. Finally, we have …
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Advances in spatial modeling for complex data with applications to symbolic data and spatial transcriptomics.
… commonly used to analyze and draw inference from data collected across geographic space, providing insight into underlying spatial processes across environmental, biological, epidemiological, and other scientific applications. Spatial data are increasingly complex, high-dimensional, and collected …
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A multi-varied approach to meaning of some East Baltic Neolithic symbols
Three sets of material and ideological data from East Baltic Neolithic pre-Corded Ware culture sites c. 6500-3500 B.P. are compiled and compared in order to reasonably interpret certain aspects of these prehistoric people's ideology, specifically as it relates to their faunal environment and …
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Contributions to fuzzy object comparison and applications. Similarity measures for fuzzy and heterogeneous data and their applications.
… contribution to knowledge in the fi eld of data objects' comparison where the objects are described by attributes of fuzzy or heterogeneous (numeric and symbolic) data types. Many real world database systems and applications require information management components that provide support for …
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Leadership Orientations of Designated Institutional officials At Institutions That Sponsor Graduate Medical Education Programs and Institutional Effectiveness
… structural, human resource, political, and symbolic. Data for the study were obtained by distributing Bolman and Deal's Leadership Orientation Instrument (self) survey to DIOs at 228 institutions in the United States accredited by the Accreditation Council for Graduate Medical Education. …
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On the sets of real vectors recognized by finite automata in multiple bases
… deterministic automata, used, in particular, as symbolic data structures for representing the sets of vectors definable in the first order additive theory of real and integer numbers. In previous work, it has been established that all sets definable in the additive theory of reals and integers …
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Set Operators
… set operators to fill holes and gaps in observed data and eliminate paper shred garbage, thereby changing the observed symbolic data set into one whose pattern is closer to the pattern in the underlying population from which the observed data set was sampled with perturbations.</p> <p>We describe …
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Code Generation for Extreme Scale Parallel Systems
… in the presence of complex control flow and data dependencies. This thesis presents compiler transformations that enable efficient vector parallelism in the presence of common kinds of complex dependencies. To enable efficient multiprocessor parallelism, this thesis develops compiler …
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Automatic recognition of Persian musical modes in audio musical signals
… musical modes. This involves constructing a database of audio musical files and developing computer algorithms to perform a musical analysis of the samples. Essential features, the spectral average, chroma, and pitch histograms, and the use of symbolic data, are discussed and compared. A …
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Extracting Theory from Practice: A Computational Analysis of the Persian Radif
… computational methods for analyzing audio and symbolic data. The main subjects of this dissertation are the intervals and tunings of Persian classical music, vocal techniques, and extracting the theoretical aspects of each gushe.</p> <p>Intervals and tuning have been subjects of discussion …
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Individual and group dynamic behaviour patterns in bound spaces
… the existing methods for visual behaviour data analysis in production systems remains difficult and the applications are available only in special cases in which the resourcing is not a problem. Most of the approaches concentrate on direct extraction and classification of the visual …
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Symbolic and connectionist machine learning techniques for short-term electric load forecasting
… neural network learning techniques and symbolic machine learning techniques to the problem of short-term electric load forecasting. The short-term electric load forecasting problem considered here is the prediction of bus loads one day ahead. The forecast quantities of interest are …