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 195 for “"Training Process"”.
-
Marriage and Family Therapy STudents' Exeperience of Anxiety During the CLinical Training Process
… experience of anxiety during the clinical training process. Participants discussed their anxiety levels during the beginning of their clinical work and 6-22 months into their clinical training process. Phenomenology guided the manner in which this study was conducted. Nine marriage and …
-
Experiences of Physical Sciences teachers when introduced to an electronic expert system
… the strategies that were employed during the training of Grade 11 Physical Sciences teachers in the use and development of an Electronic Performance Support System (EPSS). The EPSS process involves extended individualised support for teachers through face-to-face training. A purposive sample …
-
Single-player to Two-player Knowledge Transfer in Atari 2600 Games
… and the potential instability in the training process. It is proposed that a reinforcement learning algorithm can train more efficiently and achieve improved performance in a two-player game by leveraging the knowledge from the single-player version of the same game. This study …
-
Leadership and culture: Developing a constructivist approach to social organizing.
… leadership and culture; (2) design and conduct a training and application initiative focused on the construction of a leadership theory customized to the participants' culture; and (3) engage participants in an open-ended evaluation and exploration of the training to inform and sophisticate the …
-
Detecting Pulsars with Neural Networks
… performance of the model relies heavily on the training process. Optimising this training process and allowing the model to have the best possible performance is a big focus of this work.<br /><br /> I developed an approach to train the network with successively weaker signals which enables the …
-
Visual classification of co-verbal gestures for gesture understanding
… classification scheme, is used in an offline training process that trains Hidden Markov Model classifiers. A number of feature sets are extracted and tested in the offline training process, and the best performer is employed in an online HMM segmenter and classifier that requires no …
-
Data Centric Defenses for Privacy Attacks
… information about the data used in model training. These attacks called privacy attacks, exploit the model training process. Contemporary defense techniques make alterations to the training algorithm. Such defenses are computationally expensive, cause a noticeable privacy-utility tradeoff, …
-
A new glide path: re-architecting the Flight School XXI Enterprise at the U.S. Army Aviation Center of Excellence
… to improve the effectiveness and efficiency of training aviators. The Enterprise Strategic Analysis and Transformation tool provides a guide for understanding the current state of the enterprise and identifying potential areas for improvement. Surveys of the enterprise stakeholders provided an …
-
Classification trees outperform logistic regression predictions of attrition in the U.S. Marine Corps
… logistic regression in the context of predicting training attrition from the Delayed Enlistment Program in the United States Marine Corps (UMSC) with scores from the Tailored Adaptive Personality Assessment System (TAPAS). The base-rate of attrition was low which made the model training process …
-
Augmented Neural Network Surrogate Models for Polynomial Chaos Expansions and Reduced Order Modeling
Mathematical models describing real world processes are becoming increasingly complex to better match the dynamics of the true system. While this is a positive step towards more complete knowledge of our world, numerical evaluations of these models become increasingly computationally inefficient, …
-
An improved Pi-Sigma neural network using error feedback for time series prediction
… tools have some limitations like slow training process, less efficient training methods that decrease the performance of the model. Higher Order Neural Network (HONN) using recurrent feedback appeared as a powerful technique in the domain of time series prediction and it has the ability …
-
Avaliação de treinamento: um estudo de caso na Unidas/Mercedes Benz, em João Pessoa-PB
This case study aimed to identify the training results of evaluation methods adopted by the Unidas Mercedes Benz, located in the city of João Pessoa, PB. So, it was intended through this research to gather information about how the company conducts the evaluation of the results of training, and the …
-
Data-Driven and Dynamically Feasible Trajectory Generation for Real-Time Powered Descent Guidance and Robotic Exploration
… computationally infeasible on flight-grade processors, taking seconds to minutes to compute a single trajectory. The objective of this dissertation is to develop new algorithms to advance the state of the art in trajectory optimization and planning for autonomous systems. Due to the limited …
-
Modeling, Analysis, and Design of Subcarrier Multiplexing on Multimode Fiber
… To cancel the effects of these deep nulls, training process and diversity coding are considered. The basic theory of diversity coding is given. It is found that the performances of the system with training process and the system with diversity coding are almost identical. However, diversity …
-
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 …
-
Towards Intelligent Federated Learning Systems
… the data where it is (not shared during the training process), so-called "Edge Computing". In 2016, Google extended this idea to distributed machine learning and termed it as "Federated Learning". In a federated learning system, any device could participate in the training – regardless of its …
-
Model-free tracking control of an optical fiber drawing process using deep reinforcement learning
… for tracking control of an optical fiber drawing process is developed and evaluated. The DRL-based control is capable of regulating the fiber diameter to track either steady or varying reference trajectories in the presence of stochasticity and non-linear delayed dynamics of the system. With about …
-
Unsupervised monocular depth estimation: Learning to generalize
… for improvement which can be applied in the training process. Recent papers in unsupervised MDE focus on increasing performance metrics on the KITTI benchmark. We show that the results from these methods can be further improved by (i) providing synthetic training data via the game engine …
-
Animal-Computer Interaction: Designing Specialised Technology with Canine Workers
… emergency communication system by observing training practices to learn how trainers communicate with the dogs; interviewing human-dog partnerships to understand their needs; and engaged in rapid prototyping sessions with the dogs to identify their preferences. Using these requirements, we …
-
A curriculum model for Nevada Test Site Radiation Protection Technician training
… an overview of Radiation Protection Technician training curricula within the Department of Energy (DOE) Government Contractor system and the Training Accreditation Manuals used for program evaluation of DOE system training programs; The research design included data from a two page …
Page 1 of 10