Domain-general learning theories of development suggest that humans are born with mechanisms in the brain that exist to support and guide learning on a...

Domain-specific learning theories of development hold that we have many independent, specialised knowledge structures (domains), rather than one cohesive...

domain specificity argue that domain-general learning mechanisms are unable to overcome the epistemological problems facing learners in many domains,...

Domain adaptation General game playing Multi-task learning Multitask optimization Transfer of learning in educational psychology Zero-shot learning Feature...

confounded with domain-general learning difficulties, thus these deficits may not be specific to dyscalculia but rather may reflect a greater learning deficit...

non-linguistic domains. Further research has also indicated that statistical learning is likely a domain-general and even species-general learning mechanism...

Explanation-based learning (EBL) is a form of machine learning that exploits a very strong, or even perfect, domain theory (i.e. a formal theory of an...

software, a general-purpose programming language (GPL) is a programming language for building software in a wide variety of application domains. Conversely...

General knowledge is information that has been accumulated over time through various media and sources. It excludes specialized learning that can only...

and domain-specific learning systems that are adaptively specialized rather than characterized by a general intelligence factor and a domain-general learning...

A domain-specific language (DSL) is a computer language specialized to a particular application domain. This is in contrast to a general-purpose language...

with learning on topological spaces, that is, on different topological domains. One of the core concepts in topological deep learning is the domain upon...

etc. These domains are not mutually exclusive. For example, in learning to play chess, the person must learn the rules (cognitive domain)—but must also...

machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major...

machine learning may take longer to be adopted in other domains. Concern for fairness in machine learning, that is, reducing bias in machine learning and...

Classification of Educational Goals. The taxonomy divides learning objectives into three broad domains: cognitive (knowledge-based), affective (emotion-based)...

open-source learning management system written in PHP and distributed under the GNU General Public License. Moodle is used for blended learning, distance...

Statistical relational learning (SRL) is a subdiscipline of artificial intelligence and machine learning that is concerned with domain models that exhibit...

Domain knowledge is knowledge of a specific discipline or field in contrast to general (or domain-independent) knowledge. The term is often used in reference...

doi:10.17487/RFC1796. RFC 1796. Informational. Wikiversity has learning resources about Domain Name System Vixie, Paul (4 May 2007). "DNS Complexity". ACM...

proximal policy optimization. RLHF has applications in various domains in machine learning, including natural language processing tasks such as text summarization...

include learning, reasoning, knowledge representation, planning, natural language processing, perception, and support for robotics. General intelligence—the...

Continual learning Domain adaptation Foundation model Hyperparameter optimization Overfitting Quinn, Joanne (2020). Dive into deep learning: tools for...

new situation or domain. Apprentice learning systems—learning novel solutions to problems by observing human problem-solving. Domain knowledge explains...

the robustness of conventional machine learning models used for these applications. The prior knowledge of general physical laws acts in the training of...

performances of the learning process. See blockchain-based federated learning and the references therein. An increasing number of application domains involve a...

enough that its patterns are both detectable and extractable by domain-general learning mechanisms. In terms of language acquisition, these patterns can...

reinforcement learning, such as learning a simplified version of a game first. Some domains have shown success with anti-curriculum learning: training on...

Deep learning is a subset of machine learning that focuses on utilizing multilayered neural networks to perform tasks such as classification, regression...

A country code top-level domain (ccTLD) is an Internet top-level domain generally used or reserved for a country, sovereign state, or dependent territory...