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Distinguishing rule| and exemplar|based generalization in learning ...


Toward Generalizability in the Deployment of Artificial Intelligence in ...

In 2020, 25% of the articles published in Radiology discussed AI and machine learning (1), including several overviews based on research ...

On the Generalization of Simple Alternating Category Structures

A rule-based approach is based on identifying an explicit bound that ... made by reference point and rule-based frameworks: Many or most learners generalize by.

Definitions, methods, and applications in interpretable machine ...

This allows us to distinguish between 2 main classes of interpretation methods: model based* and post hoc. We then introduce the predictive, descriptive, ...

Distinct learning, retention, and generalization patterns in de novo ...

People correct for movement errors when acquiring new motor skills (de novo learning) or adapting well-known movements (motor adaptation).

Comments - How Persuasion Will Cover the Trump Presidency

But I joined in July 2020 because of the promise to develop a fighting community based on persuasion. ... rule of law (repeated violation ...

Rules and Similarity in Concept Learning - MIT

In generalizing concepts, people's judgments often seem to reflect both rule-based and similarity-based computations. [9], and different brain systems are ...

Reasoning cartographic knowledge in deep learning-based map ...

However, cartographic map generalization involves more attributes, such as direction, distance, and spatial dependency, which make it unique and distinguish it ...

Combining unsupervised, supervised and rule-based learning

Data mining of electronic health records (EHRs) has a huge potential for improving clinical decision support and to help healthcare deliver ...

Recommendation as Generalization: Evaluating Cognitive Models In ...

chine learning literature. Bayesian models of human generalization ... To study human generalization profiles, individuals are shown examples of.

A Comparison of Rule and Exemplar-Based Learning Systems - AWS

We aim to clarify the distinction between the two representational schemes, and compare how systems based on the different schemes address the problem of ...

Understanding Deep Learning (Still) Requires Rethinking ...

Hence, the concept is not strong enough to distinguish between the models trained on the true labels (small generalization error) and models ...

Coherent category training enhances generalization in prototype ...

2020: Learning and generalization of within-category representations in a rule ... Distinguishing prototype-based ... exemplar-based accounts of category learning ...

Generalization: The Key to Meaningful Programming in ABA

... distinguish between the different types of generalization ... based activities, or real-life scenarios to enhance generalization. For example, if teaching ...

Peak Shift and Rules in Human Generalization - CDN

Keywords: generalization, peak shift, rule, associative learning, discrimination ... Associative and Rule-Based Generalization. From an ...

Perceptual Learning Generalization from Sequential ... - Cell Press

differentiate ''transfer'' from ''learning to learn. ... Rule-based learning explains visual perceptual learning and its · specificity and ...

The Neural Correlates of Similarity- and Rule-based Generalization

In another related study, albeit one. 2. Journal of Cognitive Neuroscience. Volume X, Number Y. Page 3. which used very different stimuli (the stimuli varied on.

Effects of category diversity on learning, memory, and generalization

Distinguishing prototype-based and exemplar-based processes in dot-pattern category learning.Journal of Experimental Psychology: Learning, Memory ...

Gist and Generalization in Young and Older Adults' Causal Learning

There were no age differences in causal judgments for old exemplars or in generalization of causal associations to novel exemplars. For both ...

Effects of category diversity on learning, memory, and generalization

This article examines people's ability to learn categories by induction over exemplars, and in particular, how the diversity of training exemplars affects the ...

Generalization Equations for Machine Learners Based on Physical ...

The physical and abstract laws derived from the first principles have been recently exploited to customize and sharpen machine learning (ML) ...