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 38 for “"Learning To Learn"”.
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Learning to Learn Concept Descriptions
The goal of automatically encoding natural language text into some formal representation has been pursued in the field of Knowledge Engineering to support the construction of Formal Ontologies. Many \SOA{} methods have been proposed for the automatic extraction of lightweight Ontologies and to …
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Building BRIDGES : combining analogy and category learning to learn relation-based categories
The field of category learning is replete with theories that detail how similarity and comparison based processes are used to learn categories, but these theories are limited to cases in which item and category representations consist of feature vectors. This precludes these methods from learning …
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Towards more human-like concept learning in machines : compositionality, causality, and learning-to-learn
People can learn a new concept almost perfectly from just a single example, yet machine learning algorithms typically require hundreds or thousands of examples to perform similarly. People can also use their learned concepts in richer ways than conventional machine learning systems - for action, …
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Learning to learn and design : the development of effective strategies in a graduate school of architecture.
Thesis. 1978. Ph.D.--Massachusetts Institute of Technology. Dept. of Urban Studies and Planning.
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Metacognition, self-regulation, oracy: A mixed methods case study of a complex, whole-school Learning to Learn intervention
This doctoral thesis presents the findings of a mixed methods case study of Learning Skills, a new approach to Learning to Learn that was developed and implemented at a secondary school in the south of England between 2010 and 2014, and evaluated using data collected between 2009 and 2017. Learning …
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The Relationship Between City Planning and Related Learning: To Learn Continuingly or to Learn Continuously, That Is the Polemic
… relationship between city planning and related learning"? This looks at the learning that engages city planners during the process of solving real life presenting situations. Does this learning occur continuingly or continuously? Is this knowledge tacit or explicit? This research is based on an …
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Pedagogų kompetencija mokyti mokytis inkliuzinėje klasėje /
The goal of this Master‘s thesis is to assess teachers‘ competence to teach pupils how to learn. In accordance with scientific and methodical literature, this study seeks to reveal teachers‘ ability to teach. During the interview, the main aims were to reveal subject teachers‘ opinion about the …
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"Nyt raksuttaa!" : ajattelun taitojen ja oppimaan oppimisen tukeminen ohjaavalla opetustyylillä
… of the transversal competence is thinking and learning to learn. The purpose of this thesis is to examine, how the teachers who participated in the study support the development of thinking and learning to learn through a concrete model and mediated learning. In addition, the impact of the …
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Limitations and Extensions of the WoLF-PHC Algorithm
Policy Hill Climbing (PHC) is a reinforcement learning algorithm that extends Q-learning to learn probabilistic policies for multi-agent games. WoLF-PHC extends PHC with the "win or learn fast" principle. A proof that PHC will diverge in self-play when playing Shapley's game is given, and WoLF-PHC …
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Learning probabilistic relational dynamics for multiple tasks
While large data sets have enabled machine learning algorithms to act intelligently in complex domains, standard machine learning algorithms perform poorly in situations in which little data exists for the desired target task. Transfer learning attempts to extract trends from the data of similar …
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The Influence of 4-H Judging Team Participation on Career Life Skills Development
The purpose of the study was to determine whether participation in WV 4-H agricultural judging teams impacted life skills development. This study measured the current life skill abilities of past 4-H state judging team winners from 1995 to 2006, determined their perception of the influence …
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Evaluating Learned and Rule-Based Policies for Hospital Bed Assignment
… we consider the problem of assigning patients to hospital beds with the goal of reducing the incidence of HAIs. We propose a two part approach to this task: first, use reinforcement learning to learn a function from logged data for assessing different patient and bed pairs, then use this …
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Machine Learning and Field Inversion approaches to Data-Driven Turbulence Modeling
… closure models for the Reynolds-averaged Navier-Stokes (RANS) equations. This dissertation explores two different approaches for using experimental data to provide improved closure for the Reynolds stress tensor field. The first approach uses machine learning to learn a general closure model from …
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Algorithms for learning to induce programs
The future of machine learning should have a knowledge representation that supports, at a minimum, several features: Expressivity, interpretability, the potential for reuse by both humans and machines, while also enabling sample-efficient generalization. Here we argue that programs-i.e., source …
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Consensus, Cooperative Learning, and Flocking for Multi-agent Predator Avoidance
… is highly common with applications related to defending or escaping from predators. In this thesis a hybrid multi-agent system that integrates consensus, cooperative learning, and flocking control to determine the direction of attacking predators and learn to flock away from them in a …
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Task Localization, Similarity, and Transfer; Towards a Reinforcement Learning Task Library System
… transfer for eventual use in a reinforcement learning task library system, which can effectively “learn to learn,” improving its performance as it encounters various tasks over the lifetime of the learning system.</p>
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Design and conversational evaluation of an information technology learning environment based on self-organised-learning
From 1990 to 1993 I was engaged as the Information Technology (IT) Workshop manager at Mid-Cornwall College, St. Austell. My mission during this period was to develop a new kind of IT learning environment. The main purpose was - and continues to be - to provide for mixed 'open-access’ student …
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Better Generalization with Less Human Annotation Using Meta-Learning and Self-Supervised Learning for Image Analysis
… a large amount of annotated training data to generalize well. Unfortunately, such large training data is difficult to obtain in medical or geophysical domains due to many reasons, including the high annotation cost, privacy concerns, and physical constraints. To address the data efficiency …
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Learning Transferable Representations
A first contribution of this thesis is to propose causality as a language for problems of distribution shift. First, we consider domain generalisation, where no data from the test distribution are observed during training. What assumptions can be made regarding the relation between train and test …
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Meta-learning for adaptive filtering
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms
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