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 15 of 15 for “"RVM"”.
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A content analysis of battering interventions: Development of a unified framework for treating relationally violent men
… from BIPs show that relationally violent men (RVM) can be a very difficult population to treat. Meta-analyses across BIPs with differing theoretical ideologies show that these programs tend to struggle to retain RVM and have small effects on decreasing recidivism. The current dissertation …
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Topics in imbalanced data classification : AdaBoost and Bayesian relevance vector machine
… second part treats the Relevance Vector Machine (RVM), which is a supervised learning algorithm extended from the Support Vector Machine (SVM) based on the Bayesian sparsity model. Compared with the regression problem, RVM classification is challenging to conduct because there is no closed-form …
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Probe Level Analysis of Affymetrix Microarray Data
… the S-Score and the Random Variance Model (RVM). The S-Score is a probe-level algorithm based on an error model in which the detected signal is proportional to the probe pair signal for highly expressed genes, but approaches a background level (rather than 0) for genes with low levels of …
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Effects of xanthine oxidase inhibitors in pulmonary hypertension associated with chronic lung disease
… was the mean change in right ventricular mass (RVM) as assessed by cardiac magnetic resonance imaging (CMRI) at twelve months. The secondary outcomes were the change in other cardiac parameters measured by CMRI, St George’s Respiratory Questionnaire, Short Form 36, spirometry and six-minute walk …
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Machine Learning and Bayesian Statistics for Seismic Compressive Sensing
… for seismic CS, the Relevance Vector Machine (RVM) and the Beta Process Factor Analysis (BPFA). The RVM uses a sparsity promoting distribution over the coefficients of a linear combination of basis functions. By learning the appropriate parameters, the algorithm infers a predictive mean and …
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ANALYSIS AND MODELING OF NONSTATIONARY GROUND MOTION COHERENCY
… perform the modeling, Relevance Vector Machines (RVM) regression is used to develop a model for the nonstationary lagged coherency that characterizes the space-time variation of seismic ground motion. Earthquake ground motion data from dense seismograph SMART-1 array is used to determine the …
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Viscous streaming in 3D and its applications
… (FSI) solver based on Remeshed Vortex Method (RVM) for the simulation and analysis of 3D streaming flows. We validate the accuracy and capability of the solver against a range of 3D streaming problems from single to multiple oscillating bodies, as well as for actuation modes of different sorts …
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Viscous streaming-enhanced inertial particle transport
… simulations based on the Remeshed Vortex Method (RVM) can accurately and efficiently capture viscous streaming dynamics. We test this algorithm on a wide variety of settings while simultaneously exhibiting the resultant streaming flow--structures, demonstrating both streaming's capability of …
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Complex SANS SAXS data evaluation, simulation and interpretation with regard to statistical inference
… und moderne Methoden des Maschinellen Lernens (RVM, SVR, LASSO) werden benutzt, um eine stabilere Lösung zu ermitteln. Ein neues, selbst entwickeltes Programm (SASET) wird präsentiert, das es erlaubt effizient umfangreiche und gekoppelte 1-dimensionale Datensätze/-serien auszuwerten; somit …
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Functional Magnetic Resonance Imaging of Peripheral Neuropathic Pain in the Spinal Cord and Brainstem
… the cervical SC, rostral ventromedial medulla (RVM), dorsolateral pontine tegmentum (DLPT), and midbrain periaqudectal gray (PAG). The anatomical variation in signal change between groups may represent, for the first time, a visualization of the functional difference between healthy and …
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Effects of Music on the Pain Response in the Central Nervous System Using Functional Magnetic Resonance Imaging
… grey (PAG), rostral ventromedial medulla (RVM), and the dorsal gray matter of the spinal cord. The data suggest that music seems to engage mesolimbic and mesocortical brain regions to activate the descending pain modulation pathway. Lower subjective pain ratings corresponded to a greater …
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New approaches to open problems in gene expression microarray data
… this work we show that Relevance Vector Machine (RVM) [2] could be a possible solutions to the limitation of standard supervised classification. In fact, RVM offers many advantages compared, for example, with his well-known precursor (Support Vector Machine - SVM [3]). Among these advantages, the …
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JAVA VIRTUAL MACHINE DESIGN FOR EMBEDDED SYSTEMS: ENERGY, TIME PREDICTABILITY AND PERFORMANCE
… dynamic compilation and optimization in Jikes RVM in terms of energy consumption. In order to further reduce the energy dissipation of JVM on embedded systems, we study adaptive drowsy cache control for Java applications, where JVM can be used to make better decision on drowsy cache control. We …
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Extracting Parallelism from Legacy Sequential Code Using Transactional Memory
… HydraVM is built by extending the Jikes RVM and modifying its baseline compiler. Correctness of the program is preserved through exploiting Software Transactional Memory (STM) to manage concurrent and out-of-order memory accesses. Our experiments show that HydraVM achieves speedup between …