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 20 of 44 for “"concept-learning"”.
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Geometric Concept Learning and Related Topics
… serves as an illustration of some of the useful learning paradigms that are discovered by research in computational learning theory.
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Automatic concept learning via information lattices
"Concept learning is about distilling interpretable rules and concepts from data, a prelude to more advanced knowledge discovery and problem solving in creative domains such as art and science. While concept learning is pervasive in humans, current artificial intelligent (AI) systems are mostly …
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A Bayesian framework for concept learning
Human concept learning presents a version of the classic problem of induction, which is made particularly difficult by the combination of two requirements: the need to learn from a rich (i.e. nested and overlapping) vocabulary of possible concepts and the need to be able to generalize concepts …
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Modes of Abstraction: Intentional Versus Incidental Concept Learning
Although learning often occurs in environments where the learner is not a deliberate problem solver, almost all studies of concept learning have proceeded as if explicit analysis was the only available learning mode. In this set of experiments the capability of nonanalytic learning to capture the …
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A Developmental Study of an Extradimensional Shift in Concept Learning
… the hypothesis and cue-conditioning models of concept learning. However, there were three major differences. First, three age groups were tested in an effort to determine whether there were age-related differences in learning strategies. Second, the added cue was placed directly on the stimulus …
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Comparison of a Correlational With a Probabilistic Approach to Concept Learning
Made available in DSpace on 2014-12-04T17:34:24Z (GMT). No. of bitstreams: 1 6100081.pdf: 3525557 bytes, checksum: 0817d69c0e69ac456dfaf0aadb8abfef (MD5) Previous issue date: 1960
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Concept Learning Supported Semantic Search Using Multi-Agent System Based on Social Networks
… semantic search system supported by ontological concept learning and contents annotation. Our system consists of a group of multi-agent systems (MASs), each controlling a repository of structured and unstructured documents. Each repository has its own concept hierarchy, i.e. ontology. . Each MAS …
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FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
We present a meta-learning framework for learning new visual concepts quickly, from just one or a few examples, guided by multiple naturally occurring data streams: simultaneously looking at images, reading sentences that describe the objects in the scene, and interpreting supplemental sentences …
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Examining the flexibility, durability, and applicability of the testing effect in natural concept learning
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-04-06 without embargo terms
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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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Efficiency of Concept Learning and Verbal Control Under Partial Reinforcement and Subsequent Reversal or Nonreversal Shifts
Made available in DSpace on 2014-12-08T23:01:04Z (GMT). No. of bitstreams: 1 6406123.pdf: 4769027 bytes, checksum: 439cbf1faf518dd82fde339f7dd017a2 (MD5) Previous issue date: 1963
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Effective Instructional Strategies in Sixth Grade Inclusion Mathematics Classrooms: The Effect of Active and Passive Engagement on Concept Learning and Opportunity to Learn
… of active engagement on opportunity to learn and concept learning among sixth grade special education students participating in the inclusion mathematical setting. By implementing two instructional strategies and using the theoretical frameworks of Vygotsky’s Social Constructivism and Erikson’s …
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Incorporating the simplicity first methodology into a machine learning genetic algorithm
… a powerful yet domain-independent tool for concept learning. However, in general, learning systems based on the genetic algorithm generally do not perform as well as symbolic learning algorithms. Robert Holte's symbolic learning algorithm 1R demonstrated that simple rules can perform well in …
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Individual Differences in Function Learning as They Relate to the Learning of Conceptual Information
… been 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 …
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Using the language of thought
… utterances. These models and their associated learning algorithms are motivated by an attempt to provide an understanding of the algorithmic principles that might underlie a child's ability to search the haystack of sentences in her language of thought to find the needle that corresponds to any …
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The effect of attribute emphasis on photographic illustrations for concept attainment by learners having varying degrees of field dependence
… modifying photographic illustrations used for concept-learning by emphasizing defining attributes improves learning by individuals exhibiting various degrees of field-dependence. Concept-learning in this instance refers to identifying objects based on visual characteristics. The specific …
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Acquisition of the Oddity Concept by a Harris Hawk: Form versus Motion
… intended to be an investigation of simple oddity learning by a Harris hawk through the use of stimuli in two conditions: form and motion. The study was to have consisted of a pre-training phase, a training phase, and a testing phase. However, due to the fact that the subject failed to pass the …
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Topics in computational learning theory and graph algorithms
"The distribution-independent model of concept learning from examples (""PAC-learning"") due to Valiant is investigated. It has previously been shown that the existence of an Occam algorithm for a class of concepts is a sufficient condition for the PAC-learnability of that class. (An Occam …
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