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 5043 for “"Vector"”.
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Nonstandard vector integrals and vector measures
… this extended integral are mainly concerned with vector measures. One application is a generalized Radon-Nikodym derivative for all absolutely continuous vector measures of bounded variation.
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Acoustic Vector Network Analyser
… microphones and error correcting methods. A vector network analyser (VNA) is used as the data acquisition component with the aim of developing a module to allow the device to measure in the acoustic domain. The multi-microphone method employs the use of a mathematical model of the acoustics …
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Nonlinear network vector autoregression
As we all know, the time series model is one of the most important aspects of modern econometric analysis. The autoregressive model is the theoretical basis of time series. The classic autoregressive model has two features that can be improved, linear, and one-dimensional. Economic theory shows …
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Conditionally convergent vector series
… the behavior of series of complex numbers, or of vectors in two dimensions; and to generalize this study to the case of vectors in n dimensions. The particular properties to be studied are described on page 7. We shall firsts state a few well-known properties of series, both of real numbers and of …
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Projections in Vector Lattices
Made available in DSpace on 2014-12-11T18:23:53Z (GMT). No. of bitstreams: 1 7309990.pdf: 2651894 bytes, checksum: 1d9d5af09044ce0d61c73673ffe66bbc (MD5) Previous issue date: 1972
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OAdV7, an ovine adenoviral vector as a novel vaccine vector for tumour immunotherapy
… making them one of the most popular viral vectors for vaccine development. To date, the majority of the studies in the literature have focused upon human adenovirus serotype 5 (HAdV5) for the development of adenoviral vectors. However, the use of HAdV5 is limited due to its high prevalence …
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Techniques in support vector classification
… Y ⊂ Rn we can solve this problem using Support Vector Machines. Support Vector Machines are functions of the form ƒ(z) = sign (∑i αik(xi, z) + ∑jβjk(yj, z) + b), (*) where k : Rn x Rn → R and z is classified as a member of X = {xi} if ƒ(z) > 0 and a member of Y = {yj} otherwise. We consider …
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Distributed Support Vector Machine Learning
Support Vector Machines (SVMs) are used for a growing number of applications. A fundamental constraint on SVM learning is the management of the training set. This is because the order of computations goes as the square of the size of the training set. Typically, training sets of 1000 (500 positives …
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External Support Vector Machine Clustering
The external-Support Vector Machine (SVM) clustering algorithm clusters data vectors with no a priori knowledge of each vector's class. The algorithm works by first running a binary SVM against a data set, with each vector in the set randomly labeled, until the SVM converges. It then relabels data …
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DUALITY IN NONLINEAR VECTOR OPTIMIZATION
… account of duality theory for a convex vector optimization nonlinear programming problem, In mathematical programming, duality means in association to, say a minimization problem, we maximize a related problem, called its dual. Occasionally, the dual problem may turn out to be an easier …
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Vector Trigonometry for Secondary Schools
Made available in DSpace on 2014-12-08T21:25:47Z (GMT). No. of bitstreams: 1 7000998.pdf: 6278325 bytes, checksum: c1492fcfca894f6a098f1845bcf5b1cc (MD5) Previous issue date: 1969
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Nonstandard theory of vector measures
… particular, constructions of countably additive vector measures from internal vector measures are presented. An integration theory of real valued functions with respect to Banach space valued measures is also developed. Applications include direct constructions of representing measures of both …
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Vector acoustic miss distance indication
… several such measurements would enable the miss vector to be calculated.
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Vector-thread architecture and implementation
This thesis proposes vector-thread architectures as a performance-efficient solution for all-purpose computing. The VT architectural paradigm unifies the vector and multithreaded compute models. VT provides the programmer with a control processor and a vector of virtual processors. The control …
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Acoustic vector-sensor array processing
… for acoustic pressure-sensor arrays. Acoustic vector-sensor arrays, which measure particle velocity and pressure, offer significant potential but require fundamental changes to algorithms and performance assessment. This thesis develops new analysis and processing techniques for acoustic …
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Efficient Algorithms for Vector Similarities
… cog in machine learning is the humble embedding: vector representations of real world objects such as text, images, graphs, or molecules whose geometric similarities capture intuitive notions of semantic similarities. It is thus common to curate massive datasets of embeddings by inferencing on a …
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Parity vector compensation for FDI
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1982.
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