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 44 for “"training framework"”.
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REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments
… and brings the model to the user's device for training. Existing works share model parameters or use distillation principles to address the challenges of data heterogeneity. However, these methods ignore some of the other fundamental challenges in FL: device heterogeneity and communication …
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Optimizing Markerless Motion Tracking for the Study of Hand Kinematics
… pose recognition, we implement an iterative training paradigm which augments the training data of the neural networks based on performance of test data. Specifically, we aim to improve generalization and reduce training time – which are necessities for effective continuous 3D tracking - by …
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A framework for knowledge-based team training
… to economic and military organizations. Team training is difficult and as yet there are few automated tools to assist in the training task. As with the training of individuals, effective training depends upon practice and proper training protocols. In this research, we defined a team training …
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Metagradient Descent: Differentiating Large-Scale Training
A major challenge in training large-scale machine learning models is configuring the training process to maximize model performance, i.e., finding the best training setup from a vast design space. In this work, we unlock a gradient-based approach to this problem. We first introduce an algorithm for …
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Intercultural communication in healthcare interpreting : an exploration of possibilities
… interpreters who have had intercultural training. In conclusion, elements of a training framework will be introduced that could be developed in order to train advanced interpreters who are interested in using an intercultural approach in their work.</p>
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Equipping the Leaders of the Central Seventh-Day Adventist Church in St. Croix, US Virgin Islands, in Evangelism Follow-Up
… barriers, practical follow-up steps, and a training framework. Chapter 4 describes project design, preparation, implementation, and curriculum content. Chapter 5 evaluates the purpose and goals, identifies its strengths and weaknesses, and concludes with reflections on future changes and …
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INTELLIGENT DYNAMIC THERMAL CONTROL USING DEEP LEARNING AND REINFORCEMENT LEARNING
… for DTC and proposes a comprehensive analysis framework considering the algorithm, control objective, and system dynamics. The challenges associated with implementing RL in real-world scenarios are identified, leading to a relaxed task formulation that considers the availability of a historical …
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Large-margin Gaussian mixture modeling for automatic speech recognition
Discriminative training for acoustic models has been widely studied to improve the performance of automatic speech recognition systems. To enhance the generalization ability of discriminatively trained models, a large-margin training framework has recently been proposed. This work investigates …
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Design and task analysis for a game-based shiphandling simulator using an open source game engine (DELTA3D)
… gap between classroom instruction and hands-on training onboard naval academy training boats (YPs). The goal was to develop a proof-of concept game-based simulator that uses 3D graphics to replicate basic tasks executed onboard the YPs. Two missions were selected for a brief task analysis study …
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LARGE-SCALE NEURAL 3D SCENE RECONSTRUCTION, RENDERING, AND BEYOND
… Building on this, DOGS, a distributed training framework for 3DGS, reduces computation and memory by an order of magnitude for large-scale scenes. For robustness, DBARF eliminates the need for accurate precomputed poses by jointly optimizing them with the NeRF, succeeding where …
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The Impact of the Food Safety Training Program on Food Handlers in the Food Service Industry: A Social Cognitive Theory Perspective
… employees in the foodservice industry. Although training and preventive actions have been carried out, they appear to be less effective when correlated with reported food outbreaks over the same period. A large group of food safety training researchers has suggested that food safety training …
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Creating, implementing, and evaluating a teacher mentoring program for the Mary Bray Elementary and Raymond W. Kershaw schools in the Mount Ephraim School District
… process. A mentor group provides a strong training framework that contributes to teacher retention in the school system. Districts are responsible for providing the mentors and mentees with the research, best practice, program design, expectations, support, training and opportunities, …
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Examining the Effects of Post-Training Interventions on Transfer of Training
This study examined the effectiveness of two post-training interventions, goal-setting and self-management training, on improving transfer of training. The interventions provided trainees with cognitive skills and techniques needed to help them transfer their learned skills from the classroom to …
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Scaling contrastive learning batch size by two orders of magnitude
Contrastive learning has emerged as a powerful framework for unsupervised representation learning, allowing models to learn by maximizing agreement between related samples and distinguishing dissimilar ones. However, contrastive learning frameworks are fundamentally limited by the number of …
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MIMO-OFDM Symbol Detection via Echo State Networks
… Additionally, the bandwidth spent as the training set is the same as the demodulation reference signals defined in 3GPP LTE/LTE-Advanced systems for the ESN/WESN based symbol detection. Meanwhile, a unified training framework is developed for both comb and scattered pilot patterns. …
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Neural Document Segmentation Using Weighted Sliding Windows with Transformer Encoders
… We introduce a weighted sliding window framework, WeSWin, that effectively segments arbitrarily long documents using Transformers. WeSWin consists of overlapping document partitioning followed by the weighted aggregation of multiple sentence predictions within the generated windows, …
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Mapping professional development in TAFE
… government policies of vocational education and training reform. TAFE teachers are now part of a national Vocational Education and Training (VET) system and responsible for the delivery of National Training Packages and the Australian Quality Training Framework (AQTF). Seemingly, the Australian …
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Maladaptive Coping Habits Amongst Student Leaders in Peer Support Roles: Reframing Exposure to Vicarious Trauma
… habits. Institution X does not have a viable framework to monitor or regulate student leaders’ interactions when supporting students in distress, nor does it have the means to measure coping skills or provide effective critical incident support. This Organizational Improvement Plan examines …
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Joint Biomedical Event Extraction and Entity Linking via Iterative Collaborative Training
… the two task-specific models in an iterative training framework: (1) predicting the missing variables for each partially annotated dataset based on the current two task-specific models, and (2) updating the parameters of each model on the corresponding pseudo completed dataset. Experimental …
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Smart Home Cybersecurity Challenges: An Assessment of End-User Knowledge and a Training Solution to Mitigate These Challenges
… This dissertation introduces two artifacts: a training framework detailing smart home vulnerabilities and best practices for cybersecurity, and an application named "Smart Home Security App". This application prompts users to update their passwords biannually and continuously monitors for …
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