Concept learning, also known as category learning, concept attainment, and concept formation, is defined by Bruner, Goodnow, & Austin (1967) as "the search...

processes such as categorization, memory, decision making, learning, and inference. Concepts are thought to be stored in long term cortical memory, in...

Stentor coeruleus. This concept acts in direct opposition to sensitization. Sensitization is an example of non-associative learning in which the progressive...

in a big pond: Contrast and assimilation effects on academic self-concept". Learning and Individual Differences. 20 (5): 522–531. doi:10.1016/j.lindif...

Gowin, their approach to concept mapping is based on a "learning theory that focuses on concept and propositional learning as the basis on which individuals...

learning theory AlphaGo AlphaGo Zero Alternating decision tree Apprenticeship learning Causal Markov condition Competitive learning Concept learning Decision...

programs, materials or learning and development programs. The learning management system concept emerged directly from e-Learning. Learning management systems...

more concrete issues related to the learner and the learning context. The general concept of learning through experience is ancient. Around 350 BC, Aristotle...

In machine learning, one-class classification (OCC), also known as unary classification or class-modelling, tries to identify objects of a specific class...

machine learning approaches include learning classifier systems, association rule learning, and artificial immune systems. Based on the concept of strong...

In predictive analytics, data science, machine learning and related fields, concept drift or drift is an evolution of data that invalidates the data model...

framework is the introduction of computational complexity theory concepts to machine learning. In particular, the learner is expected to find efficient functions...

important concept of instructional scaffolding, whereby the social or informational environment offers supports (or scaffolds) for learning that are gradually...

active learning, hybrid active learning and active learning in a single-pass (on-line) context, combining concepts from the field of machine learning (e.g...

to have been lost. Despite this, NTL's learning pyramid model became a central representation of this concept with a large number of models drawing from...

in the 1930s. Formal concept analysis finds practical application in fields including data mining, text mining, machine learning, knowledge management...

Meaningful learning refers to the act of higher order thinking and development through intellectual engagement that uses pattern recognition and concept association...

and social psychology concept Learning – Process of acquiring new knowledge Microtraining – Support method for informal learning processes in organisations...

"Types of cost in inductive concept learning". arXiv:cs/0212034. Abney, Steven (17 September 2007). Semisupervised Learning for Computational Linguistics...

points denote objects, and regions denote concepts. The theory of conceptual spaces is a theory about concept learning first proposed by Peter Gärdenfors. It...

Active learning is "a method of learning in which students are actively or experientially involved in the learning process and where there are different...

This higher education concept is distinct from the elementary and high school "integrated curriculum" movement. Integrative Learning comes in many varieties:...

Kinesthetic learning (American English), kinaesthetic learning (British English), or tactile learning is learning that involves physical activity. As...

children with cerebral palsy). The goal of applying the Bobath concept is to promote motor learning for efficient motor control in various environments, thereby...

problems may also be viewed as instances of semi-supervised learning. Much of human concept learning involves a small amount of direct instruction (e.g. parental...

Lifelong Learning, which caters to the needs of the disadvantaged and marginalized learners. Lifelong learning is distinguished from the concept of continuing...

concept or principle. For example, m-learning emphasizes mobility, which allows for altered timing, location, accessibility, and context of learning;...

In machine learning, multiple-instance learning (MIL) is a type of supervised learning. Instead of receiving a set of instances which are individually...

management, a learning organization is a company that facilitates the learning of its members and continuously transforms itself. The concept was coined...

Version space learning is a logical approach to machine learning, specifically binary classification. Version space learning algorithms search a predefined...