AI & ChatGPT searches , social queries for DOMAIN SPECIFIC-LEARNING
Search references for DOMAIN SPECIFIC-LEARNING. Phrases containing DOMAIN SPECIFIC-LEARNING
See searches and references containing DOMAIN SPECIFIC-LEARNING!
Search references for DOMAIN SPECIFIC-LEARNING. Phrases containing DOMAIN SPECIFIC-LEARNING
See searches and references containing DOMAIN SPECIFIC-LEARNING!DOMAIN SPECIFIC-LEARNING
Neurological theory
Domain-specific learning theories of development hold that we have many independent, specialised knowledge structures (domains), rather than one cohesive
Domain-specific_learning
Theory of cognitive development
Domain-general learning theories are in direct opposition to domain-specific learning theories, also sometimes called theories of Modularity. Domain-specific
Domain-general_learning
Range of neurodevelopmental conditions
someone who is not affected by a learning disability. People with a learning disability have trouble performing specific types of skills or completing tasks
Learning_disability
Programming language specialized to a specific application domain
A domain-specific language (DSL) is a programming language specialized to a specific application domain. This is in contrast to a general-purpose programming
Domain-specific_language
Theoretical position related to cognitive science
domain specificity argue that domain-general learning mechanisms are unable to overcome the epistemological problems facing learners in many domains,
Domain_specificity
Field associated with machine learning and transfer learning
improve learning. When multiple source distributions are involved, the problem extends to multi-source domain adaptation. Domain adaptation is a specific type
Domain_adaptation
Computer architecture designed for a specific task
A domain-specific architecture (DSA) is a programmable computer architecture specifically tailored to operate very efficiently within the confines of
Domain-specific_architecture
Topics referred to by the same term
affected Specific learning disability Specific phobia, phobia of a specific thing or situation Specific social phobia, triggered only by specific social
Specific
Machine learning technique
perform a different, usually more specific, task (the downstream task). It is considered a form of transfer learning, as it reuses knowledge learned from
Fine-tuning_(deep_learning)
Segmented search engine with specific content areas
technology. Domain-specific search was popularized as a term by Andrew McCallum, Kamal Nigam, Jason Rennie, and Kristie Seymore, in A Machine Learning Approach
Vertical_search
Mental illness caused by a lack of thiamine in the brain
practice. Treatment for the memory aspect of KS can also include domain-specific learning, which when used for rehabilitation is called the method of vanishing
Korsakoff_syndrome
Software engineering paradigm
Domain-specific multimodeling is a software development paradigm where each view is made explicit as a separate domain-specific language (DSL). Successful
Domain-specific_multimodeling
Specialist knowledge within a specific field
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
Domain_knowledge
Research field in deep learning
setting this domain might be a topological domain. Studying and developing deep learning models that are supported ln topological domains constitute the
Topological_deep_learning
Machine learning technique
algorithm) Domain adaptation General game playing Multi-task learning Multitask optimization Transfer of learning Zero-shot learning Few-shot learning Feature
Transfer_learning
Classification system in education
Classification of Educational Goals. The taxonomy divides learning objectives into three broad domains: cognitive (knowledge-based), affective (emotion-based)
Bloom's_taxonomy
Disorder affecting learning arithmetic
mathematical calculations, and learning facts in mathematics. In the United Kingdom it is classified as a specific learning difficulty. It is sometimes colloquially
Dyscalculia
Programming language used in many domains
wide variety of application domains. Conversely, a domain-specific programming language (DSL) is used within a specific area. For example, Python is
General-purpose programming language
General-purpose_programming_language
1950s intellectual movement
limited input. He argues that they must have some kind of innate, domain-specific learning mechanism that processes input. Chomsky observes that physical
Cognitive_revolution
Principle in artificial intelligence
with available computational power tend to outperform ones based on domain-specific understanding because they are better at taking advantage of the falling
Bitter_lesson
Educational approach
inquiry. Learning, most often, is interdisciplinary. It requires integration of content from several disciplines and leads to outcomes beyond the domain-specific
Authentic_learning
Theories on the development of personality
college students based on the Big Five personality trait domains and facets within those domains has been studied. Rank-order stabilities of facets are
Personality_development
Relevance for a specific subject area or industry of a website
The domain authority (also referred to as thought leadership) of a website describes its relevance for a specific subject area or industry. Domain Authority
Domain_authority
Process of acquiring new knowledge
Electronic learning or e-learning is computer-enhanced learning. A specific and always more diffused e-learning is mobile learning (m-learning), which uses
Learning
Subset of artificial intelligence
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn
Machine_learning
Evolution-related timelines
intelligences and domain-specific learning systems that are adaptively specialized rather than characterized by a general intelligence factor and a domain-general
Evolution of human intelligence
Evolution_of_human_intelligence
Psychometric factor also known as "general intelligence"
to a suite of cognitive modules that serve domain-specific functions and enable domain-specific learning). While acknowledging the consensus within psychometrics
G_factor_(psychometrics)
2000 book by Randy Thornhill and Craig T. Palmer
Cognitive specialization Computational theory of mind Domain generality Domain specificity/learning Dual process theory Cognitive tradeoff hypothesis Evolution
A_Natural_History_of_Rape
that allow for the identification and avoidance of specific problems, especially in the social domain." Depression is characteristically associated with
Evolutionary approaches to depression
Evolutionary_approaches_to_depression
Theories in cognitive psychology
facilitate learning. For example, to support metarepresentation and facilitate the emergence of general reasoning patterns from domain specific processing
Neo-Piagetian theories of cognitive development
Neo-Piagetian_theories_of_cognitive_development
Set of learning techniques in machine learning
machine to both learn the features and use them to perform a specific task. Feature learning is motivated by the fact that ML tasks such as classification
Representation_learning
Use of technology in education to enhance learning and teaching
encompasses several domains, including learning theory, computer-based training, online learning, and mobile learning (m-learning). The Association for
Educational_technology
Software development process
Domain-driven design (DDD) is a software design approach that focuses on modeling software to match a domain according to input from that domain's experts
Domain-driven_design
Intelligence of machines
to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field
Artificial_intelligence
Ability to carry out a task
energy, or both. Skills can often[quantify] be divided into domain-general and domain-specific skills. Examples of general skills include time management
Skill
to help with Learning. An example of EBL using a perfect domain theory is a program that learns to play chess through example. A specific chess position
Explanation-based_learning
Topics referred to by the same term
any other purpose Domain specificity, theory that many aspects of cognition are supported by specialized learning devices Specificity theory, theory that
Specificity
Branch of psychology
this view, any domain-general learning is impossible because of the combinatorial explosion. Evolutionary psychology specifies the domain as the problems
Evolutionary_psychology
Medical condition
DSM-IV, specific developmental disorders were no longer grouped together. Instead they were reclassified as communication disorders, learning disorders
Specific developmental disorder
Specific_developmental_disorder
Field of study
(1998). Enabling constraints for cognitive development and learning: Domain-specificity and epigenesis. In D. Kuhl & R. S. Siegler (Vol. Eds.), Cognition
Evolutionary educational psychology
Evolutionary_educational_psychology
challenges of special application areas. The Machine Learning Pipeline in Production is a domain-specific data science methodology that is inspired by the
Artificial intelligence in industry
Artificial_intelligence_in_industry
Automatic creation of ontologies
necessarily applied in every ontology learning system. During the domain terminology extraction step, domain-specific terms are extracted, which are used
Ontology_learning
Concept in machine learning
Double descent in statistics and machine learning is the phenomenon where a model's error rate on the test set initially decreases with the number of parameters
Double_descent
Specification of a conceptualization
a linguistic tool for learning domain ontologies. The Gellish ontology is an example of a combination of an upper and a domain ontology. A survey of ontology
Ontology (information science)
Ontology_(information_science)
System to identify resources on a network
Network Names and Other Types," Status Unknown. Wikiversity has learning resources about Domain Name System Vixie, Paul (4 May 2007). "DNS Complexity". Queue
Domain_Name_System
Probabilistic model
probability theory, statistics—particularly Bayesian statistics—and machine learning. Generally, probabilistic graphical models use a graph-based representation
Graphical_model
Grouping a set of objects by similarity
computer graphics and machine learning. Cluster analysis refers to a family of algorithms and tasks rather than one specific algorithm. It can be achieved
Cluster_analysis
Gifted person with broad knowledge
products, such as a painting, a mathematical model or a poem, can be domain-specific, at the level of the creative process, the mental tools that lead to
Polymath
Online database for choral and vocal music
The Choral Public Domain Library (CPDL), also known as ChoralWiki, is an online community and repository for choral and vocal music. Its contents primarily
Choral_Public_Domain_Library
Internet top-level domain generally used by or reserved for a country
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
Country_code_top-level_domain
Parameter-efficient fine-tuning technique for large language models
than retraining the entire model. This allows organizations to create domain-specific versions of models like GPT-3 (175 billion parameters) while only bearing
LoRA_(machine_learning)
Technique in machine learning
reinforcement learning, such as learning a simplified version of a game first. Some domains have shown success with anti-curriculum learning: training on
Curriculum_learning
Machine learning methods using multiple input modalities
Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images
Multimodal_learning
Research field that lies at the intersection of machine learning and computer security
Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. Machine learning techniques
Adversarial_machine_learning
Machine learning technique
proximal policy optimization. RLHF has applications in various domains in machine learning, including natural language processing tasks such as text summarization
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
Predictive model interchange format
describe and exchange predictive models produced by data mining and machine learning algorithms. It supports common models such as logistic regression and other
Predictive Model Markup Language
Predictive_Model_Markup_Language
and applying the knowledge within the targeted learning domain. Using narratives to support learning and cognition dates back to early human culture
Narrative-based_learning
Branch of machine learning
In machine learning, deep learning (DL) focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation
Deep_learning
try to make the 'natural seem strange':" It takes...a mind debauched by learning to carry the process of making the natural seem strange, so far as to ask
History of evolutionary psychology
History_of_evolutionary_psychology
Use of software programs to generate taxonomical classifications from a body of texts
|journal= (help) Automatic Taxonomy Construction from Keywords (2012) Domain taxonomy learning from text: The subsumption method versus hierarchical clustering
Automatic taxonomy construction
Automatic_taxonomy_construction
Public domain classical music collection
for downloading public domain music". Business Insider. Retrieved June 26, 2024. Janvey, Alexandra (July–August 2013). "Learning about music on the Web:
Musopen
Decentralized machine learning
Federated learning (also known as collaborative learning) is a machine learning technique in a setting where multiple entities (often called clients)
Federated_learning
Set of statistical processes for estimating the relationships among variables
(often called the outcome or response variable, or a label in machine learning parlance) and one or more independent variables (often called regressors
Regression_analysis
describe and exchange predictive models produced by analytics and machine learning algorithms. It supports common models such as logistic regression and decision
Portable_Format_for_Analytics
Statistical measure of a binary classification
In medicine and statistics, sensitivity and specificity mathematically describe the accuracy of a test that reports the presence or absence of a medical
Sensitivity_and_specificity
Statistical method
marketing, product management, operations research, finance, and machine learning. It may help to deal with data sets where there are large numbers of observed
Factor_analysis
Educational concept
learners acquire more knowledge in a specific domain. Expertise is described as "the ability to perform fluently in a specific class of tasks." Instructional
Expertise_reversal_effect
Self-awareness about thinking, higher-order thinking skills
their learning affected by keeping their mobile phones switched on in class. Finally, there is no distinction between domain-general and domain-specific metacognitive
Metacognition
Way of inferring information from cross-covariance matrices
Conference on Learning Representations (ICLR 2024, spotlight). "Statistical Learning with Sparsity: the Lasso and Generalizations". hastie.su.domains. Retrieved
Canonical_correlation
Branch of artificial intelligence
knowledge about actions in the domain to make better decisions. Thus, learning action models differs from reinforcement learning. It enables reasoning about
Automated planning and scheduling
Automated_planning_and_scheduling
Fundamental unit of cognition
outlook is that acquiring a concept is about learning theoretical knowledge relevant to a specific domain and that applying concepts involves theoretical
Concept
Algorithm for modelling sequential data
In deep learning, the transformer is a family of artificial neural network architectures based on the multi-head attention mechanism, in which input data
Transformer_(deep_learning)
Methods in artificial intelligence research
symbolic machine learning systems explored the ability to take high-level natural language advice and to interpret it into domain-specific actionable rules
Symbolic artificial intelligence
Symbolic_artificial_intelligence
Paradigm in machine learning that uses no classification labels
Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled
Unsupervised_learning
Statistical model for a binary dependent variable
§ History. Logistic regression is used in various fields, including machine learning, most medical fields, and social sciences. For example, the Trauma and
Logistic_regression
Solving multiple machine learning tasks at the same time
across tasks. This can result in improved learning efficiency and prediction accuracy for the task-specific models, when compared to training the models
Multi-task_learning
Action in learning
life-long period of deliberate effort to improve performance in a specific domain. One of Ericsson's core findings was that how expert one becomes at
Practice_(learning_method)
C++ framework for compiler development
representation (IR) framework intended to facilitate the construction of domain-specific compilers and improve compilation for heterogeneous computing platforms
MLIR_(software)
French AI firm
tailor AI systems to their specific domain, data, and user needs. Hugging Face Large language model Reinforcement learning Generative AI "Adaptive ML
Adaptive_ML
Model-free reinforcement learning algorithm
Q-learning is a reinforcement learning algorithm that trains an agent to assign values to its possible actions based on its current state, without requiring
Q-learning
Process in early language acquisition
is unclear if the word-learning constraints are specific to the domain of language, or if they apply to other cognitive domains. Evidence suggests that
Word_learning_biases
Software testing technique
account. An example of a differential testing system that performs domain-specific coverage-guided input generation is Mucerts. Mucerts relies on the
Differential_testing
Theory of learning a second language
acquisition resembles the process of general adult learning in fields where there is no domain-specific learning system believed to exist. Theories of direct
Generative second-language acquisition
Generative_second-language_acquisition
British software developer and author (born 1963)
Fowler’s Domain-specific languages discusses small, composable programming languages focused on an individual domain. He argues that domain-specific languages
Martin Fowler (software engineer)
Martin_Fowler_(software_engineer)
Book edited by John D. Bransford, Ann L. Brown, and Rodney R. Cocking
facts within a domain. The key attribute of expertise is a detailed and organized understanding of the important facts within a specific domain." Thus, the
How_People_Learn
AI whose outputs can be understood by humans
"black box" tendency of machine learning, where even the AI's designers cannot explain why it arrived at a specific decision. XAI seeks to help users
Explainable artificial intelligence
Explainable_artificial_intelligence
generic Internet top-level domains (TLD) contains generic top-level domains, which are those domains in the DNS root zone of the Domain Name System of the Internet
List of English-language generic Internet top-level domains
List_of_English-language_generic_Internet_top-level_domains
Theory that describes how students receive, process, and retain knowledge during learning
Learning theory attempts to describe how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences
Learning_theory_(education)
Computer science discipline
Closed-domain question answering deals with questions under a specific domain (for example, medicine or automotive maintenance) and can exploit domain-specific
Question_answering
American psychologist
help-seeking errors in the context of learning a domain-specific problem-solving skill. The Help Tutor messages include only domain-independent metacognitive content
Kenneth_Koedinger
AI that learns decision rules from data
needing to apply prior domain knowledge to manually construct rules and curate a rule set. The output of rule-based machine learning consists of decision
Rule-based_machine_learning
Productivity and collaboration software
launched in February 2006 as Gmail for Your Domain, before being expanded into Google Apps for Your Domain in the same year, later rebranded as G Suite
Google_Workspace
Creation of knowledge from structured and unstructured sources
extracted. Ontology learning is the automatic or semi-automatic creation of ontologies, including extracting the corresponding domain's terms from natural
Knowledge_extraction
Structuring text as input to generative artificial intelligence
information from its pre-existing training data. This allows LLMs to use domain-specific and/or updated information. RAG improves large language models by incorporating
Prompt_engineering
Method of data analysis
related to factor analysis. Factor analysis typically incorporates more domain-specific assumptions about the underlying structure and solves eigenvectors
Principal_component_analysis
Standard testing domain in Reinforced learning
Mountain Car, a standard testing domain in Reinforcement learning, is a problem in which an under-powered car must drive up a steep hill. Since gravity
Mountain_car_problem
Measurable property or characteristic
and knowledge of the domain expert. Automating this process is feature learning, where a machine not only uses features for learning, but learns the features
Feature_(machine_learning)
Foundations of ML Perception, Vision, and Natural Language Processing Domain-specific ML. The MCML is headed by the four directors Bernd Bischl, Daniel Cremers
Munich Center for Machine Learning
Munich_Center_for_Machine_Learning
Topics referred to by the same term
Second-level domain, an Internet domain directly beneath the top-level domain Simple learning design 2.0, a specification used to express learning activities
SLD
Hardware specially designed and optimized for artificial intelligence
as machine-learning training or inference. This includes general-purpose accelerators used for AI (for example, GPUs) and domain-specific accelerators
Hardware for artificial intelligence
Hardware_for_artificial_intelligence
DOMAIN SPECIFIC-LEARNING
DOMAIN SPECIFIC-LEARNING
DOMAIN SPECIFIC-LEARNING
DOMAIN SPECIFIC-LEARNING
DOMAIN SPECIFIC-LEARNING
DOMAIN SPECIFIC-LEARNING
DOMAIN SPECIFIC-LEARNING
DOMAIN SPECIFIC-LEARNING
DOMAIN SPECIFIC-LEARNING