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 15 of 15 for “"function learning"”.
-
Individual Differences in Function Learning as They Relate to the Learning of Conceptual Information
… considered within the problem-solving or concept-learning literatures despite the indication that some individuals are better able to transfer to novel problems and that manipulations in strategy can effectively increase the ability to transfer: Gick & Holyoak, 1983). Research in the …
-
A Thing Is What We Say It Is: Referential Communication and Indirect Category Learning
… lexicon for novel objects and discovering the functional significance of those objects during an indirect category learning activity. During the learning task, participants worked either individually or as cooperative dyads to learn four combinations of orthogonal functional features—nutritive …
-
Toward In-Context Teaching
… evaluations of simulated students across three learning domains (fraction arithmetic, English morphology, function learning), AToM systematically outperforms LLM-based and standard Bayesian teaching models. In human experiments, both AToM and LLMs outperform non-adaptive random example …
-
Economic strategies for forest regeneration
… be aimed at increasing the forest production function, learning more about the production relationships, and reducing the risks of production.
-
Trilhas de aprendizagem: uma proposta a partir do mapeamento de competências na Universidade Federal da Bahia
… achieving strategic objectives using different learning resources to enhance knowledge, skills and attitudes. Among the training tools used for this function, learning trails emerge as a flexible and individualized option, in which the server has autonomy to choose, among the options offered, …
-
Predicting pilot intent and aircraft trajectory in uncontrolled airspace
… of possible mode change points. A likelihood function inspired by the approach of Yepes et al. [63] is used to map current aircraft state in continuous space to a high probability discrete sequence of mode change points. An unsupervised learning process is used to identify both the structure …
-
Validity and Diagnostic Accuracy of a Clinical Trial Battery for Primary Brain Tumor Patients
Objective: Neurocognitive function (NCF) is a relevant endpoint in clinical trials of primary brain tumor patients. The Clinical Trial Battery (CTB) consisting of the Hopkins Verbal Learning Test-Revised, Trail Making Test, and Controlled Oral Word Association is currently in use for multinational …
-
Central arterial stiffness is associated with cognitive decline and cardiovascular disease manifestation in cancer survivors in the Framingham Heart Study
… – We hypothesized that declines in cognitive function would be associated with a higher central arterial stiffness and that cognitive function and central arterial stiffness would predict risk of CVD diagnosis and all-cause mortality in a large cohort of diverse cancer survivors. Methods – We …
-
Temporally distinct impairments in cognitive function following a sensitizing regimen of methamphetamine
… & O'Dell, 2012). Alterations in cognitive function after repeated drug use may lead to impaired decision-making, a lack of behavioral control, and ultimately the inability to abstain from drug use. Human studies have shown that alterations in neurobiology resulting from prolonged MA use may …
-
From Discrete to Continuous: Learning 3D Geometry from Unstructured Points by Random Continuous Space Queries
… In recent efforts to explore point-cloud based learning methods to improve 3D shape analysis, there has been much attention paid to the use of INR-based frameworks. Existing methods, however, mostly formulate models with an encoder-decoder architecture that incorporates a global shape embedding …
-
Cognition and apathy in normal pressure hydrocephalus
… were seven tests which spanned global cognitive function, learning and memory, executive function and psychomotor speed. Results for all tests were significant in the direction of improvement. However, the significance of the results for two measures of executive function were deemed not to be …
-
Advances in Symbolic Regression: From Generalized Formulation to Density Estimation and Inverse Problem
… The proposed approach infers probability density functions symbolically from samples by leveraging the Maximum Entropy Distribution (MED) principle. We uncover three key contributions: (i) the Lagrange multipliers, inherent in the MED ansatz, can be efficiently computed by simply solving a linear …
-
EFFECTS OF TRENDS IN INFORMATION ON PREDICTIVE JUDGMENTS
… shifted their responses depending on the overall functional form. These choices were ultimately biased to be optimistic or pessimistic based on whether the trend started fast or slow, respectively. Additionally, we found that participants who self-reported taking more gambling risk and depressive …
-
Functional Norm Regularization for Margin-Based Ranking on Temporal Data
… of samples, making models less useful and their learning less efficient. Hypothesis of this dissertation is that use of the functional norm regularization can help alleviating mentioned challenges, by improving generalization abilities and/or learning efficiency of predictive models, in this case …
-
Large-Scale Machine Learning for Classification and Search
… billions, can be collected for training machine learning models. Inspired by this trend, this thesis is dedicated to developing large-scale machine learning techniques for the purpose of making classification and nearest neighbor search practical on gigantic databases. Our first approach is to …