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 270 for “"pruning"”.
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Pruning methods for rule induction
… data in training sets, which can be solved by pruning. This thesis is concerned with investigating whether preceding rule induction with instance reduction techniques can help in reducing the complexity of rule sets by reducing the number of rules generated without adversely affecting the …
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Robotic Pruning for Indoor Indeterminate Plants
… Automated systems tasked with duties like pruning face considerable difficulties due to occlusion, complicating the accurate identification of plant features. To tackle these challenges, this work introduces a novel approach utilizing a LiDAR camera mounted on a robot arm, enhancing the …
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Pruning XML trees for XPath query optimisation
XML has been widely adopted for interoperable applications. This often requires the construction of large XML repositories resulting in poor query response times. Although the poor performance of XPath queries has attracted a great ded of attention from the research community in the form of …
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Neural Network Pruning for ECG Arrhythmia Classification
… made in effectively reducing these overheads by pruning and compressing large CNNs with only a slight decline in model accuracy. In this study, two pruning methods are implemented and compared on the CIFAR-10 database and an ECG arrhythmia classification task. Each pruning method employs a …
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Automated Pruning of Greenhouse Indeterminate Tomato Plants
<p>Pruning of indeterminate tomato plants is vital for a profitable yield and it still remains a manual process. There has been research in automated pruning of grapevines, trees, and other plants, but tomato plants have yet to be explored. Wage increases are contributing to the depleting profits …
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An adaptive pruning algorithm for DNN compression
… and mobile platforms. Techniques such as pruning, quantization and binarization have been developed to reduce network parameter size. Pruning is the one of well-studied methods to solve network over-parameterization and reduce computational complexity. A typical pruning process includes …
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On pruning and feature engineering in Random Forests.
Random Forest (RF) is an ensemble classification technique that was developed by Leo Breiman over a decade ago. Compared with other ensemble techniques, it has proved its accuracy and superiority. Many researchers, however, believe that there is still room for optimizing RF further by enhancing and …
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Transformer Pruning Relation and General Neural Network Augmentation
… a few versions of it, some of which involve pruning. Firstly, the pruning relation of testing loss against density was found for the GPT-2 transformer network on a causal language modeling task. An interesting double plateau of testing loss was found whenever the attention weights were …
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Fine Granularity is Critical for Intelligent Neural Network Pruning
Neural network pruning is a popular approach to reducing the computational costs of training and/or deploying a network, and aims to do so while minimizing accuracy loss. Pruning methods that remove individual weights (fine granularity) yield better ratios of accuracy to parameter count, while …
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Developing tools to investigate neuronal activity in synaptic pruning /
During development, synaptic pruning removes excess synapses and contributes to the formation of mature neuronal network. Synaptic pruning is performed by microglia that phagocytose synaptic material. It is essential to achieve optimal neural network and healthy nervous system. The impairments of …
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Pruning Convolution Neural Network (SqueezeNet) for Efficient Hardware Deployment
… techniques like Architectural compression, Pruning, Quantization, and Encoding (e.g., Huffman encoding). Network pruning is one of the promising technique to solve these problems. This thesis proposes methods to prune the convolution neural network (SqueezeNet) without introducing network …
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Pruning the right branch : working memory and understanding sentences
An experiment was conducted to determine whether tests used to assess working memory in different disciplines (neuroimaging, psycholinguistics, neuropsychology) are highly correlated, and thus whether they are equivalent measures of a unitary underlying function. Scores on the different tests …
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The Effects of Pruning on Wind Resistance of Shade Trees
… (Michx.)) were tested before and after pruning to determine the effectiveness of pruning on reducing drag and bending moment. Pruning methods were thin, reduce and raise and meet the requirements set by the American National Standard Institute A300 standards for Tree Care Operations …
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ATPG based Preimage Computation: Efficient Search Space Pruning using ZBDD
Preimage Computation is a fundamental step in Formal Verification of VLSI designs. Conventional OBDD-based methods for Formal Verification suffer from spatial explosion, since large designs can blow up in terms of memory. On the other hand, SAT/ATPG based methods are less demanding on memory. But …
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Modeling Cognition by Pruning and Topography-Learning in Deep Neural Networks
… Technically, we implement this using structured pruning over learned feature maps or units in convolutional neural networks to select a subset that can improve the alignment with human judgments. This part consists of three studies. In Study 1.1, we introduce a statistic quantifying how much each …
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Improving federated learning performance with similarity guided feature extraction and pruning.
Federated Learning (FL) is a Machine Learning (ML) paradigm that learns from distributed clients to collaboratively train a global model in a privacy-preserved manner without sharing their private data. Traditional centralised ML approaches require aggregating data from various sources into a …
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Efficient Intelligence Towards Real-Time Precision Medicine With Systematic Pruning and Quantization
… This research investigates the application of pruning and quantization techniques to optimize CNNs for arrhythmia classification using the MIT-BIH Arrhythmia Database. By combining magnitude-based pruning, regularization-based pruning, filter map-based pruning, and quantization at different …
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Effects of disbudding, defoliating, tipping, and pruning on young, potted apple trees
… of Pn and chlorophyll levels following pruning or defoliation appears to result from an increased root : shoot ratio at treatment rather than an increased demand for photosynthates by subsequent growth. Treatment responses of Pn and total chlorophyll content were similar so that Pn per …
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