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 “"Joint Training"”.
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Joint Training Methods for Tandem and Hybrid Speech Recognition Systems using Deep Neural Networks
… usually determined independently from the DNN training process. Second, different ASR modules are separately optimised based on different criteria following a greedy build strategy. For instance, for tandem systems, the features are often extracted by a DNN trained to classify individual speech …
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Labor-management training programs established and funded through collective bargaining agreements at firms employing 1000 or more persons
… the United States, workers are participating in training programs jointly established by their union and their company. These joint training programs have emerged as a significant innovation in employee training programs during the past fifteen years and are helping workers learn new technical …
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Towards multilingual lexicon discovery from visually grounded speech
… Finally, we show the same analysis for a joint training using three languages at the same time, with Japanese as the third language.
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ENHANCEMENT OF SPECIAL OPERATIONS ORGANIZATION IN THE DHS
… States Special Operations Command (USSOCOM), Joint Special Operations Task Force, and Australian Federal Police Specialist Response Group to seek solutions for the DHS. The results show that organizational design, informal networks, and routines have been successfully used by these …
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Neural Enhancement Strategies for Robust Speech Processing
… accuracy. Later, it was observed that the dis-joint training approach often introduces signal distortion in the output of the speech enhancement module. Thus, it can deteriorate the back-end performance. Motivated by this, we introduce a set of fully time- domain joint training pipelines that …
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Multi-modal reinforcement learning with videogame audio to learn sonic features
… audio, and 55% larger model size, by 6.6% on a joint training task, and 20.4% on a zero-shot transfer task. We conclude that game audio informs useful decision making, and that audio features are more easily transferable to unseen test levels than video features.
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Continual Learning for Engineering: Benchmarking and Exploring Strategies for 3D Engineering Problems
… must adapt to incoming data without frequent retraining, which is often infeasible due to the cost of generating engineering data. Continual learning (CL) offers a promising alternative by enabling models to incrementally learn from sequential data while mitigating catastrophic forgetting, in …
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Crosslingual Sharing for Low-Resource Natural Language Processing
… structured prediction models which take a joint training approach, sharing parameters across several languages, to improve performance relative to monolingual training. We begin the second with GroC, a language model with compositional input and output representations which store linguistic …
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Operacinėje dirbančių slaugytojų komandinio darbo iššūkiai /
… disregard for team members, and personal issues. Training on improving teamwork is essential. Recommendations. Discussing teamwork outcomes within teams before and after. Organizing joint training sessions for operating room staff to strengthen teamwork, collaboration and to reduce encountered …
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Augmenting Multi-modal Question Answering Systems with Retrieval Methods
… (KB-VQA). We demonstrate the efficacy of joint training for retriever and generator models in maximising performance. Secondly, FVQA (Fact-based Visual Question Answering) 2.0 introduces semi-automatically annotated adversarial samples to address data distribution imbalances and enhance …
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Assessing the Influence of Prescribed Fire on Faunal Communities in a Pyric Landscape
… we conducted field surveys on Camp Blanding Joint Training Center and Wildlife Management Area to understand how fire influences relative abundances of mammalian predators, occupancy and species richness of avian species, guilds and communities, and vital rates of white-tailed deer …
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Two New Applications of Tensors to Machine Learning for Wireless Communications
… FL is a decentralized ML approach that allows to jointly train an ML model at the server using the data generated by the distributed users coordinated by a server, by sharing only the local gradients with the server and not the raw data. Here, we focus on efficient compression and reconstruction …
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Reshoring and modern slavery in the supply chain : case study evidence and action research in the textiles and fashion industry
… initiatives taken to tackle modern slavery (e.g. joint training) used by Fashion and Sports Co, along with its horizontal collaboration with 35 other brands/retailers. The study advances knowledge on the creation of socially sustainable competitive advantage (e.g. cost savings, knowledge sharing …
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Distributed AI-defense for Cyber Threats on Edge Computing Systems
… that detects IoT attacks and makes use of a joint training method between edge devices and cloud systems. Lastly, we propose the first interpretable federated transformer log learning model for threat forensics. Unlike other works that exclusively focus on anomaly detection in syslogs, our …
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An examination of collaborative working in child protection
… shared thresholds, the practice of informal joint meetings, joint assessment and joint training. The majority of respondents believed the Laming Inquiry had impacted on collaboration in both areas of practice, children in need of services and children in need of protection. Although a number …