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.
Results
Showing 1 to 20 of 57 for “"training strategies"”.
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Stepwise Evolutionary Training Strategies for Hardware Neural Networks
… algorithms are particularly well suited for the training of such networks since they do not require detailed knowledge of the system to be optimized. In order to make best use of the high network speed, fast and simple training approaches are required. Within the scope of this thesis, a stepwise …
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Review of assessment and training strategies for preservice behavior analysts.
… to provide services to consumers. To ensure training is sufficient to produce competent practitioners, strategies should be evaluated through research to determine both the effectiveness and efficiency of the strategy. This manuscript includes an overview of the history of the field of …
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Boston's job training linkage program : a new tool for developing alternative employment training strategies?
Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 1990.
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The Effects of Training Strategies on Assessor Behavior and the Accuracy of Assessment Center Consensus Ratings
… this research was to examine the effects of four training strategies (e.g., part, whole, individual, and team) on the accuracy of performance ratings and the occurrence of interactive behaviors in consensus meetings. The results were analyzed using a 2 x 2 factorial ANOVA design. Part and whole …
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The effects of active training strategies on children's acquisition of emergency skills and fear of fire
Two training procedures (active rehearsal, passive observation) were assessed for relative effectiveness in the acquisition of sequential fire emergency skills, reducing fire-related fears and physiological arousal, and increasing self-efficacy and rationale for fire safety skills. Active subjects …
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The reliability of 10 km treadmill time trial performance and the effect of different high intensity interval training strategies on 10 km running performance and associated physiological parameters
… section of this thesis. This comprised a large training intervention study aimed to answer specific questions following three different high intensity interval training programmes. In particular, changes in 10 km running performance were investigated with respect to various physiological …
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Novel Wearable Technology Methods to Guide and Monitor Endurance Training
… and health benefits of endurance exercise, training must be prescribed strategically—scaling exercise intensities to an individual’s physical capabilities and balancing training with sufficient rest and recovery. To accomplish this goal, contemporary best practice emphasizes exercise …
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Evaluation of an Auditory Localization Training System for Use in Portable Configurations: Variables, Metrics, and Protocol
… sound localization accuracy can improve with training. The investigator hypothesized that training with a broadband stimulus and reducing the number of presentations would result in training transfer. Additionally, training transfer would occur with implementation of more user-engaged training …
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Interactive and Incremental Learning via a Multisensory Mobile Robot
… a humancomputer interaction model and the robot training strategies. Based on these analyses and discussions, we develop our learning scheme that can learn online from both labeled and unlabeled data. The learning scheme is based on successive refinement of the decision boundary.
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Information resources, information skills and education : an exploratory study of information literacy education in community junior secondary schools in the North-East district of Botswana and the role of teacher-librarians and school libraries
… progress. A variety of educational and training strategies have been developed and tried in different parts of the world to address this challenge. This study investigates the nature of information literacy education in community junior secondary schools in the North-East district of …
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Bridging Machine Learning and Experimental Design for Enhanced Data Analysis and Optimization
… The demand for smart data collection strategies is increasing due to the need to save time and budget, especially in online experiments and machine learning. However, the traditional experimental design method falls short in systematically assessing changing variables' effects. …
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Relationship of Team Training Components to Perceptions of Team Performance
… was to identify the specific components of team training that contribute most to a team's ability to perform effectively. The analysis conducted involved examining the relationship between the Training Support System Survey (Hall, 1998) along with the Training Strategies and Training Content …
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Neural-Network and Fuzzy-Logic Learning and Control of Linear and Nonlinear Dynamic Systems
… goal of this thesis is to develop nontraditional strategies to provide motion control for different engineering applications. We focus our attention on three topics: 1) roll reduction of ships in a seaway; 2) response reduction of buildings under seismic excitations; 3) new training strategies and …
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Hidden Markov model based visual speech recognition
… and sensitive to their contexts, three novel training strategies, referred to as two-channel training strategy, Maximum Separable Distance training strategy and HMM Adaptive Boosting strategy, are proposed to improve the discriminative power and robustness of an HMM classifier. Following that, …
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MACHINE LEARNING FOR CONSTITUTIVE MODELLING
… law of the micro scale simulations after a training process, called off-line learning. For history dependent materials, the recurrent neural network (RNN) is adopted for the training of path dependent mechanical responses, due to its advanced learning ability for history dependent behavior. …
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Information Retrieval with Dense and Sparse Representations
… systems with advanced language models and training strategies. We first introduce DiffCSE, a difference-based contrastive learning framework for unsupervised sentence embedding and dense retrieval that can effectively capture minor differences in sentences, showcasing improved performance …
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Empirical Analysis of Neural Architectures and Side Information in Financial Time Series Forecasting
… transformer-based models, and evaluate multiple training strategies. Our key contributions include: (1) evidence that options-derived input features improve both error metrics and directional accuracy; (2) a comparison study of four training methods (one-step-ahead, direct multi-step, simulation …
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Combining the Power of Attention Models and Many-objective Computational Intelligence Algorithms for Drug Design
… fragment-SMILES tokenization scheme and two training strategies. Second, it evaluates the performance of contrastive Transformer-based latent models for molecular generation. Third, it applies many-objective computational intelligence algorithms in the continuous latent space generated by a …
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The tackle in Rugby Union : understanding training and match behaviours to develop better coaching strategies for skill acquisition, performance, and injury prevention
… in rugby union. However, coaching and training drills prescribed to train the tackle to date are largely based on anecdotal evidence. To develop effective tackle training strategies (i.e. technical skills training, physical conditioning, training drills, and equipment) that will produce …
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Driving to Learn. The process of growing consciousness of tool use - a grounded theory of de-plateauing.
… Learn project explored possible achievements of training people with cognitive disabilities in a joystick-operated powered wheelchair utilizing the grounded theory approach. Theoretical sampling led the concomitant collection and analysis of data. During a period of 12 years, 45 participants with …
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