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 17 of 17 for “"Regularization technique"”.
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Diversity shrinkage of pareto-optimal solutions in hiring practice: Simulation, shrinkage formula, and a regularization technique
… outcomes from personnel selection, one promising technique is De Corte, Lievens, and Sackett’s (2007) Pareto-optimal weighting strategy. De Corte et al.’s strategy has been demonstrated on: (a) a composite of cognitive and noncognitive (e.g., personality) tests (De Corte, Lievens, & Sackett, …
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Robust learning and segmentation for secure understanding
… no means limited to this application. Boosting techniques are popular because they learn effective classification functions and identify the most relevant features at the same time. However, in general, they overfit and perform poorly on data sets that contain many features, but few examples. A …
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A Comparison of Two Boundary Methods For Biharmonic Boundary Value Problems
… The Delta-shaped basis function with the Abel regularization technique is used in the construction of the approximate fundamental solutions in MAFS. The MFS produces more accurate results but needs known fundamental solutions for the differential operator. The MAFS can provide comparable …
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Continual Learning for Deep Dense Prediction
… retraining on all the training data. Existing techniques for mitigating the abrupt performance degradation on previously trained tasks are mainly studied in the context of image classification. In this work, we present a simple method to alleviate catastrophic forgetting for pixel-wise dense …
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An Improved dipole-moment model based on near-field scanning for characterizing near-field coupling and far-field radiation from an IC
… on near-field measurements is proposed. The regularization technique and the truncated SVD method are employed together with the least square method to calculate the dipole moments from the near-field data. This dipole model has clear physical meaning: the electric and magnetic dipoles …
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Neural techniques for modeling visually grounded speech
In this thesis, I explore state of the art techniques for using neural networks to learn semantically-rich representations for visual and audio data. In particular, I analyze and extend the model introduced by Harwath et al. (2016), a neural architecture which learns a non-linear similarity metric …
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Three-Point Correlator and Pion Form Factor in Quantum Chromodynamics: Methods of Calculation for Two-Loop Spectral Density
… particular loop integrals, the dimensional regularization technique has been used. The calculation involves such methods as infinite-momentum frame approach, alpha-representation method, Sudakov parametrization of the integration momentum and covariant calculation in momentum space. It is …
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Natural Language Foundation Models in Medical Artificial Intelligence
… for chest x-ray interpretation through a novel regularization technique applied during pre-training, and use this model for the zero-shot identification of chest x-ray findings. In chapter 3, we examine the reliability of CLIP-style models. First, we evaluate their robustness to shortcut …
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Optimal filters for deconvolution of transient signals in the presence of noise
… the deconvolution of time domain signals. The techniques developed in this work are frequency domain filtering techniques. and are suitable for the type of deconvolution problems encountered in time domain reflectometry (TOR). They include a smoothing technique that is a variant of the well …
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Heat transfer and microstructure during the early stages of solidification of metals
… heat transfer model based on the sequential regularization technique was used to predict the interfacial heat flux and surface temperature of the chill from the thermocouple measurements. These were then used as boundary conditions in a 1-D solidification model of the casting. The secondary …
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Information-theoretic bounds in learning algorithms
… of current algorithms and inspiring new learning techniques. The first problem considered involves a sequence of machine learning problems that vary in a bounded manner from one time-step to the next. To solve these problems in an accurate and data-efficient way, an active and adaptive learning …
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Framing in Argument Analysis & Generation. Detecting and generating perspectives
… word understanding. Employing this range of techniques, we approach the task of frame identification in newspapers and arguments and framed text generation in terms of framed conclusion generation and reframing. To refine frame identification, we present a trained multi-task setup between …
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Sparse spectrum fitting in array processing
… focus on the application of sparsity-encouraging regularization techniques to the problem of Direction-Of-Arrival (DOA) estimation using sensor arrays. By developing the sparse representation models for the spatial covariance matrix of correlated or uncorrelated sources respectively, the DOA …
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Robust and real-time hand detection and tracking in monocular video
… with the real-time constraints, we developed techniques to speed-up the process by efficiently discarding unimportant information in the image. Experimental results show that our method is competitive with the state-of-the-art in object detection while providing a reduction in computational …
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Higher-order Beam Theories for Continuum Damage Mechanics with Regularization Techniques
L'abstract è presente nell'allegato / the abstract is in the attachment