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Type of artificial neural network
Extreme learning machines are feedforward neural networks for classification, regression, clustering, sparse approximation, compression and feature learning
Extreme_learning_machine
Overview of and topical guide to machine learning
outline is provided as an overview of, and topical guide to, machine learning: Machine learning (ML) is a subfield of artificial intelligence within computer
Outline_of_machine_learning
Computational model used in machine learning
In machine learning, a neural network (NN) or neural net, is a computational model inspired by the structure and functions of biological neural networks
Neural network (machine learning)
Neural_network_(machine_learning)
Television series
Extreme Machines was a documentary series created by Pioneer Productions for The Learning Channel and Discovery Channel. The series focused mainly on
Extreme_Machines
Problem in machine learning and statistical classification
In machine learning and statistical classification, multiclass classification or multinomial classification is the problem of classifying instances into
Multiclass_classification
Machine learning paradigm
Extremal Ensemble Learning (EEL) is a machine learning algorithmic paradigm for graph partitioning. EEL creates an ensemble of partitions and then uses
Extremal_Ensemble_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
Engineering applied to artificial intelligence
Darsana (December 2018). "Fine-Tuning of Pre-Trained Deep Learning Models with Extreme Learning Machine". 2018 International Conference on Computational Science
Artificial intelligence engineering
Artificial_intelligence_engineering
Technique to solve partial differential equations
In machine learning, physics-informed neural networks (PINNs), also referred to as theory-trained neural networks (TTNs), are a type of universal function
Physics-informed neural networks
Physics-informed_neural_networks
Topics referred to by the same term
Elm (programming language) European Logarithmic Microprocessor Extreme learning machine Christina Elm (born 1995), Danish handball player David Elm (footballer)
Elm_(disambiguation)
Field of machine learning
Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning. While supervised learning and
Reinforcement_learning
Type of recurrent neural network with random and non-trainable internal structure
of a random kitchen sink algorithm (also going by the name of extreme learning machines in some communities). In 2019, another possible implementation
Reservoir_computing
Software for understanding biological data
Machine learning in bioinformatics is the application of machine learning algorithms to bioinformatics, including genomics, proteomics, microarrays, systems
Machine learning in bioinformatics
Machine_learning_in_bioinformatics
Subfield of control engineering
"Real-time fault diagnosis for gas turbine generator systems using extreme learning machine". Neurocomputing. 128: 249–257. doi:10.1016/j.neucom.2013.03.059
Fault_detection_and_isolation
machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning
List of datasets for machine-learning research
List_of_datasets_for_machine-learning_research
Intelligence of machines
develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize
Artificial_intelligence
Concept in statistics
PMID 19403281. Yuan, Qi (2011). "Epileptic EEG classification based on extreme learning machine and nonlinear features". Epilepsy Research. 96 (1–2): 29–38. doi:10
Approximate_entropy
Machine learning that combines deep learning and reinforcement learning
Deep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the problem
Deep_reinforcement_learning
of machine learning (ML) in earth sciences include geological mapping, gas leakage detection and geological feature identification. Machine learning is
Machine learning in earth sciences
Machine_learning_in_earth_sciences
Descriptor of computer vision
now be processed using the Support vector machine, extreme learning machines, or some other machine learning algorithm to classify images. Such classifiers
Local_binary_patterns
Flaw in mathematical modelling
begins to "memorize" training data rather than "learning" to generalize from a trend. As an extreme example, if the number of parameters is the same
Overfitting
Subfield of machine learning
Meta-learning is a subfield of machine learning where automatic learning algorithms are applied to metadata about machine learning experiments. As of
Meta-learning (computer science)
Meta-learning_(computer_science)
Problem setup in machine learning
Zero-shot learning (ZSL) is a problem setup in machine learning where, at test time, a learner observes samples from classes which were not observed during
Zero-shot_learning
Process of visually interpreting emotions
(CNN), Long Short-term Memory (LSTM), and Extreme Learning Machine (ELM). The popularity of deep learning approaches in the domain of emotion recognition
Emotion_recognition
Statistical optimization technique
century, Bayesian optimization algorithms have found prominent use in machine learning problems for optimizing hyperparameter values. The term is generally
Bayesian_optimization
Optimization algorithm
become an important optimization method in machine learning. Both statistical estimation and machine learning consider the problem of minimizing an objective
Stochastic_gradient_descent
Neural network that learns efficient data encoding in an unsupervised manner
generate lower-dimensional embeddings for subsequent use by other machine learning algorithms. Variants exist which aim to make the learned representations
Autoencoder
Lithography using 13.5 nm UV light
Extreme ultraviolet lithography (EUVL or simply EUV) is a technology used in the semiconductor industry for manufacturing integrated circuits (ICs). It
Extreme ultraviolet lithography
Extreme_ultraviolet_lithography
Topics referred to by the same term
Kelmė, also spelt Kelm, a Lithuanian town Kelm, a surname kernel extreme learning machine, a method in statistics Quilme people, who call themselves Kélm(e)
KELM
Gradient boosting machine learning library
of machine learning competitions. XGBoost initially started as a research project by Tianqi Chen as part of the Distributed (Deep) Machine Learning Community
XGBoost
2025 film by Benny Safdie
mixed martial arts films The Smashing Machine: The Life and Times of Extreme Fighter Mark Kerr "The Smashing Machine (2025)". Irish Film Classification Office
The Smashing Machine (2025 film)
The_Smashing_Machine_(2025_film)
Erroneous AI-generated content
forecast variations, helping identify unexpected factors that can influence extreme weather events. At Memorial Sloan Kettering Cancer Center, researchers
Hallucination (artificial intelligence)
Hallucination_(artificial_intelligence)
Change of statistical properties over time
In predictive analytics, data science, machine learning and related fields, concept drift or drift is an evolution of data that invalidates the data model
Concept_drift
French mathematician (born 1980)
Wong KP. Probabilistic forecasting of wind power generation using extreme learning machine.IEEE Transactions on Power Systems'. 2013 Nov 14;29(3):1033-44
Pierre_Pinson
Software development methodology
Extreme programming (XP) is a software development methodology intended to improve software quality and responsiveness to changing customer requirements
Extreme_programming
Artificial intelligence algorithm
A Tsetlin machine is an artificial intelligence algorithm based on propositional logic. A Tsetlin machine is a form of learning automaton collective for
Tsetlin_machine
proposed by the Deep-TFC framework, then by the X-TFC using an Extreme learning machine, and by the Physics-informed neural networks (PINN). In particular
Daniele_Mortari
Relationship between proficiency and experience
a learning curve Proficiency (test score)Experience (hours spent)01234503691215Proficiency (test score)Example of a steep learning curve A learning curve
Learning_curve
Specialized data centers designed for artificial intelligence
training and running inference for artificial intelligence (AI) and machine learning models. Unlike general-purpose data centers, they are optimized for
AI_data_center
AI's tendency to abruptly and drastically forget old info after learning new info
to abruptly and drastically forget previously learned information upon learning new information. Neural networks are an important part of the connectionist
Catastrophic_interference
Condition characterized by severe deprivation of basic human needs
Extreme poverty is the most severe type of poverty, defined by the United Nations (UN) as "a condition characterized by severe deprivation of basic human
Extreme_poverty
Artificial neural network security measurement
The CLEVER (Cross Lipschitz Extreme Value for nEtwork Robustness) score is a way of measuring the robustness of an artificial neural network towards adversarial
CLEVER_score
Statistical method
In statistics and machine learning, lasso (least absolute shrinkage and selection operator; also Lasso, LASSO or L1 regularization) is a regression analysis
Lasso_(statistics)
Artificial Intelligence, there are multiple subfields. The subfield of machine learning has been used for various scientific and commercial purposes, including
Applications of artificial intelligence
Applications_of_artificial_intelligence
Upper-Limb Intent Detection Using Electromyography and Reliable Extreme Learning Machines". Sensors. 19 (8): 1864. Bibcode:2019Senso..19.1864C. doi:10.3390/s19081864
AVT Statistical filtering algorithm
AVT_Statistical_filtering_algorithm
Machine learning overlay technique for position sizing and trade filtering
Meta-labeling, also known as corrective AI, is a machine learning (ML) technique utilized in quantitative finance to enhance the performance of investment
Meta-Labeling
Archetypal analysis in statistics is an unsupervised learning method similar to cluster analysis and introduced by Adele Cutler and Leo Breiman in 1994
Archetypal_analysis
Device to calm hypersensitive persons
A hug machine, also known as a hug box, a squeeze machine, or a squeeze box, is a therapeutic device designed to calm hypersensitive persons, usually
Hug_machine
Sub-field of reinforcement learning
Multi-agent reinforcement learning (MARL) is a sub-field of reinforcement learning. It focuses on studying the behavior of multiple learning agents that coexist
Multi-agent reinforcement learning
Multi-agent_reinforcement_learning
AI research laboratory
multi-agent reinforcement learning". DeepMind Blog. 31 October 2019. Retrieved 31 October 2019. Gao, Jim (2014). "Machine Learning Applications for Data Center
Google_DeepMind
1997 video game
Extreme-G is a futuristic racing video game developed by Probe Entertainment and published by Acclaim Entertainment, featuring an original trance soundtrack
Extreme-G
List of concepts in artificial intelligence
time, and may be used for automated planning. action model learning An area of machine learning concerned with creation and modification of software agent's
Glossary of artificial intelligence
Glossary_of_artificial_intelligence
Piece of information about the content of an image
related to a certain application. This is the same sense as feature in machine learning and pattern recognition generally, though image processing has a very
Feature_(computer_vision)
Collection of data
discoveries in medicine, environmental science, and social research. In machine learning and artificial intelligence, data sets are essential for training,
Data_set
American computer scientist (born 1989)
on new systems for computational imaging using computer vision and machine learning. In 2024, she was promoted to associate professor of computing and
Katie_Bouman
Swedish-American academic physicist (born 1967)
Max Tegmark (born 5 May 1967) is a Swedish-American physicist, machine learning researcher and author. He is a professor of physics at the Massachusetts
Max_Tegmark
where speed of computation is more important than precision. The most extreme examples are the sign function or Heaviside step function, which go from
Hard_sigmoid
United States government program involved in the development of unmanned ground vehicles
The Learning Applied to Ground Vehicles (LAGR) program, which ran from 2004 until 2008, had the goal of accelerating progress in autonomous, perception-based
Learning Applied to Ground Vehicles
Learning_Applied_to_Ground_Vehicles
Particular case of the generalized extreme value distribution
statistics, the Gumbel distribution (also known as the type-I generalized extreme value distribution) is used to model the distribution of the maximum (or
Gumbel_distribution
Statistical law in machine learning
In machine learning, a neural scaling law is an empirical scaling law that describes how neural network performance changes as key factors are scaled up
Neural_scaling_law
Optimization algorithm
methods for optimization. Gradient descent is particularly useful in machine learning and artificial intelligence for minimizing the cost or loss function
Gradient_descent
Computation model defining an abstract machine
the other extreme, some very simple models turn out to be Turing-equivalent, i.e. to have the same computational power as the Turing machine model. Common
Turing_machine
Statistical method
data that do not fit the model. The outliers can come, for example, from extreme values of the noise or from erroneous measurements or incorrect hypotheses
Random_sample_consensus
Term in educational psychology
Concept learning, also known as category learning, concept attainment, and concept formation, is defined by Bruner, Goodnow, & Austin (1956) as "the search
Concept_learning
Technique for teaching a computer or a robot new behaviors
show how to imprint vector fields into neurals networks such as Extreme Learning Machines (ELMs) in a guaranteed stable manner. Furthermore, the paper won
Programming_by_demonstration
Statistical model
Pattern Recognition and Machine Learning. Springer. ISBN 978-0-387-31073-2. Barber, David (2012). Bayesian Reasoning and Machine Learning. Cambridge University
Gaussian_process
2011 British romantic comedy-drama film
Aspergirls: Empowering Females with Asperger's Syndrome Autism's False Prophets Extreme Love: Autism Freaks, Geeks, and Asperger Syndrome: A User Guide to Adolescence
Salmon_Fishing_in_the_Yemen
Martin Zinkevich (2011). "Models of cooperative teaching and learning". Journal of Machine Learning Research. 12: 349–384.{{cite journal}}: CS1 maint: multiple
Teaching_dimension
Academic journal for autism research
Aspergirls: Empowering Females with Asperger's Syndrome Autism's False Prophets Extreme Love: Autism Freaks, Geeks, and Asperger Syndrome: A User Guide to Adolescence
Autism_(journal)
Concept in statistics
Tri-weight, Triangular, Gaussian and Rectangular. In Java, the Weka machine learning package provides weka.estimators.KernelEstimator, among others. In
Kernel_density_estimation
2014 film directed by Morgan Matthews
Aspergirls: Empowering Females with Asperger's Syndrome Autism's False Prophets Extreme Love: Autism Freaks, Geeks, and Asperger Syndrome: A User Guide to Adolescence
X+Y
This article describes extreme locations of the Solar System. Entries listed in bold are Solar System-wide extremes. List of Solar System objects most
List_of_Solar_System_extremes
Set of statistical processes for estimating the relationships among variables
variable (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
Chinese-American computer engineer and neuroscientist
Brain-Mind Institute and GENISAMA. Weng has conducted research on grounded machine learning by intersecting computer science and engineering, with brain and cognitive
Juyang_Weng
Form of artificial neural network
in various fields, including physics, psychology, neuroscience, and machine learning theory and practice. Due to their binary-valued neurons (±1 or 0/1)
Hopfield_network
Academic journal
Aspergirls: Empowering Females with Asperger's Syndrome Autism's False Prophets Extreme Love: Autism Freaks, Geeks, and Asperger Syndrome: A User Guide to Adolescence
Molecular_Autism
Canadian businessman and author (born 1954)
such as Compton's New Media, the Learning Company, and Broderbund. SoftKey later changed its name to The Learning Company and was acquired by Mattel
Kevin_O'Leary
2010 novel by Jodi Picoult
Aspergirls: Empowering Females with Asperger's Syndrome Autism's False Prophets Extreme Love: Autism Freaks, Geeks, and Asperger Syndrome: A User Guide to Adolescence
House_Rules_(novel)
2004 American TV series or program
the store and Steven wets himself, causing others to stare at them. Upon learning about their condition, her live-in boyfriend leaves because he knows raising
Miracle_Run
Science fiction film by Simon Wells
The Time Machine is a 2002 American post-apocalyptic science fiction action adventure film loosely adapted by John Logan from the 1895 novel of the same
The_Time_Machine_(2002_film)
Statistical measure
an estimation of them (e.g. true/predicted in regression tasks of Machine learning). The deviation is typically simply a differences of scalars; it can
Root_mean_square_deviation
Conformance of AI to intended objectives
Reinforcement Learning". Proceedings of the 39th International Conference on Machine Learning. International Conference on Machine Learning. PMLR. pp. 12004–12019
AI_alignment
Artificial intelligence field of study
Reinforcement Learning". Proceedings of the 39th International Conference on Machine Learning. International Conference on Machine Learning. PMLR. pp. 12004–12019
AI_safety
Book by Temple Grandin and Catherine Johnson
Aspergirls: Empowering Females with Asperger's Syndrome Autism's False Prophets Extreme Love: Autism Freaks, Geeks, and Asperger Syndrome: A User Guide to Adolescence
Animals_in_Translation
Family of convolutional neural networks
"Provable Bounds for Learning Some Deep Representations". Proceedings of the 31st International Conference on Machine Learning. PMLR: 584–592. arXiv:1310
Inception (deep learning architecture)
Inception_(deep_learning_architecture)
Loss function used in robust regression
original definition given earlier. Géron, Aurélien (2023). Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow (3rd ed.). O'Reily (published
Huber_loss
Historical autism classification
Aspergirls: Empowering Females with Asperger's Syndrome Autism's False Prophets Extreme Love: Autism Freaks, Geeks, and Asperger Syndrome: A User Guide to Adolescence
High-functioning_autism
Theory on the psychological basis of autism
of who chooses STEM subjects. The E–S theory has been extended into the extreme male brain (EMB) theory of autism and Asperger syndrome, which are associated
Empathising–systemising theory
Empathising–systemising_theory
Cloud gaming service
participation in European data center projects for artificial intelligence, machine learning, high-performance computing, edge computing, and cloud services. In
Boosteroid
Heavy machine gun
the Maxim machine guns first arrived in Iran, Reza Khan had just been appointed as a deputy commander. He was assigned the task of learning how to operate
Maxim_gun
2004 film
Aspergirls: Empowering Females with Asperger's Syndrome Autism's False Prophets Extreme Love: Autism Freaks, Geeks, and Asperger Syndrome: A User Guide to Adolescence
Midwinter_Night's_Dream
Repetitive self-stimulatory behaviour common in neurodevelopmental disorders
against walls. Another problem is that repetitive behaviors can disrupt learning and social communication for some autistic individuals in some situations
Stimming
2009 novel by Francisco X. Stork
Aspergirls: Empowering Females with Asperger's Syndrome Autism's False Prophets Extreme Love: Autism Freaks, Geeks, and Asperger Syndrome: A User Guide to Adolescence
Marcelo_in_the_Real_World
Series of intense solar storms in 2024
The solar storms of May 2024 were a series of powerful solar storms with extreme solar flares and geomagnetic storm components that occurred from 10 to
May_2024_solar_storms
Observation far apart from others in statistics and data science
Giraud-Carrier, C. (2014). "An Instance Level Analysis of Data Complexity". Machine Learning, 95(2): 225-256. Karch, Julian D. (2023). "Outliers may not be automatically
Outlier
Process of learning better perception skills
Perceptual learning is the learning of perception skills, such as differentiating two musical tones from one another or categorizations of spatial and
Perceptual_learning
Non-profit organization in Singapore
Aspergirls: Empowering Females with Asperger's Syndrome Autism's False Prophets Extreme Love: Autism Freaks, Geeks, and Asperger Syndrome: A User Guide to Adolescence
Autism Resource Centre (Singapore)
Autism_Resource_Centre_(Singapore)
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
Predictive Model Markup Language
Predictive_Model_Markup_Language
Indian computer scientist
India also proposed another paradigm in machine learning called Edge Machine Learning to enable machine learning predictions on tiny IoT devices with as
Manik Varma (computer scientist)
Manik_Varma_(computer_scientist)
2008 book by vaccine expert Paul Offit on origins of antivaccine movement
Aspergirls: Empowering Females with Asperger's Syndrome Autism's False Prophets Extreme Love: Autism Freaks, Geeks, and Asperger Syndrome: A User Guide to Adolescence
Autism's_False_Prophets
EXTREME LEARNING-MACHINE
EXTREME LEARNING-MACHINE
Boy/Male
Tamil
Extreme delight
Surname or Lastname
English
English : unexplained. Probably a respelling of Irish Hearon.Possibly also an altered form of German Haering (see Hering).
Surname or Lastname
English
English : patronymic from a Germanic personal name beginning with the element gÄ“r, gÄr ‘spear’ (see Geary 2).Probably an Americanized spelling of German Gehring.
Surname or Lastname
English
English : variant of Leeming.
Boy/Male
Hindu, Indian
Always Extreme
Boy/Male
Muslim
Extreme power
Boy/Male
Arabic, Muslim
Extreme Power
Boy/Male
Indian, Tamil
Being Extreme
Surname or Lastname
English (Dorset and Somerset)
English (Dorset and Somerset) : unexplained.Dutch : patronymic from a short form of the personal name Julianus (see Julian).
Surname or Lastname
English
English : habitational name from Feering, a village in Essex, named from the Old English personal name Fēra + -ingas ‘people of’, i.e. ‘(settlement of) Fēra’s people’.Americanized spelling of German Viering, a topographic name for someone from a swampy area, from a derivative of Germanic vir ‘bog’, ‘swamp’, or a variant of Fehring 2.
Boy/Male
Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu
Extreme Delight
Surname or Lastname
English
English : variant spelling of Waring.
Boy/Male
Hindu, Indian, Telugu
Extreme Happiness
Surname or Lastname
English
English : variant spelling of Lanning.
Surname or Lastname
English
English : unexplained.
Girl/Female
Indian
Extreme Brightness
Boy/Male
Muslim/Islamic
Extreme Power
Surname or Lastname
English
English : patronymic from Dear 1.Americanized spelling of German Diering, a variant of Döring (see Doering).
Boy/Male
Indian, Tamil
Being Extreme
Boy/Male
Hindu, Indian
Extreme Delight
EXTREME LEARNING-MACHINE
EXTREME LEARNING-MACHINE
Female
English
Short form of English Beatrix, BEA means "voyager (through life)."Â
Female
English
Variant spelling of English Genia, GENYA means "well born."Â
Girl/Female
Muslim
God is gracious
Girl/Female
Tamil
Sushmita | ஸà¯à®·à¯à®®à®¿à®¤à®¾
Beautiful smile, Good smile
Boy/Male
Latin Italian
Valiant.
Girl/Female
Hindu, Indian
Joy
Boy/Male
Muslim
Grace, Kindness, Blessing
Surname or Lastname
Americanized spelling of Jansen, Janssen, and Jansson.English
Americanized spelling of Jansen, Janssen, and Jansson.English : patronymic from the personal name Jan, a medieval form of John.
Girl/Female
Gujarati, Hindu, Indian, Marathi
Newness
Surname or Lastname
English (Kent)
English (Kent) : origin uncertain; perhaps a habitational name from a lost or unidentified place.Altered spelling of German Rümmelin or Rümmele, variants of Rummel.
EXTREME LEARNING-MACHINE
EXTREME LEARNING-MACHINE
EXTREME LEARNING-MACHINE
EXTREME LEARNING-MACHINE
EXTREME LEARNING-MACHINE
a.
Last; final; conclusive; -- said of time; as, the extreme hour of life.
a.
The best of worst; most urgent; greatest; highest; immoderate; excessive; most violent; as, an extreme case; extreme folly.
a.
Guiding; directing; controlling; foremost; as, a leading motive; a leading man; a leading example.
n.
The knowledge or skill received by instruction or study; acquired knowledge or ideas in any branch of science or literature; erudition; literature; science; as, he is a man of great learning.
n.
Purport; meaning; intended significance; aspect.
n.
An extreme state or condition; hence, calamity, danger, distress, etc.
a.
Radical; ultra; as, extreme opinions.
n.
The act, or state, of inclining; inclination; tendency; as, a leaning towards Calvinism.
adv.
In an extreme manner or state; in the utmost degree; to the utmost point; exceedingly; as, extremely hot or cold.
n.
Utmost limit or degree that is supposable or tolerable; hence, furthest degree; any undue departure from the mean; -- often in the plural: things at an extreme distance from each other, the most widely different states, etc.; as, extremes of heat and cold, of virtue and vice; extremes meet.
v. t.
To separate and throw off; to excrete urine.
n.
The act, power, or time of producing or giving birth; as, a tree in full bearing; a tree past bearing.
pl.
of Earning
a.
Giving previous notice; cautioning; admonishing; as, a warning voice.
n.
The acquisition of knowledge or skill; as, the learning of languages; the learning of telegraphy.
a.
Pertaining to, or designed for, wear; as, wearing apparel.
n.
The act of gathering after reapers; that which is collected by gleaning.
n.
The gross amount of the balances adjusted in the clearing house.
n.
Either of the extreme terms of a syllogism, the middle term being interposed between them.
a.
Extended or contracted as much as possible; -- said of intervals; as, an extreme sharp second; an extreme flat forth.