Search references for AUTOMATED MACHINE-LEARNING. Phrases containing AUTOMATED MACHINE-LEARNING
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Process of automating the application of machine learning
Automated machine learning (AutoML) is the process of automating the tasks of applying machine learning to real-world problems. It is the combination
Automated_machine_learning
Subset of artificial intelligence
Automated machine learning – Process of automating the application of machine learning Big data – Extremely large or complex datasets Deep learning —
Machine_learning
Machine learning-powered structure design
hyperparameter optimization and meta-learning and is a subfield of automated machine learning (AutoML). Reinforcement learning (RL) can underpin a NAS search
Neural_architecture_search
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
AI underlies avatars (automated online assistants) on web pages. It can reduce operation and training costs. Pypestream automated customer service for
Applications of artificial intelligence
Applications_of_artificial_intelligence
Subfield of computer science and logic
metalogic, the area of automated reasoning is dedicated to understanding different aspects of reasoning. The study of automated reasoning helps produce
Automated_reasoning
Open-source machine learning platform
Pipelines, Kubeflow Training Operator), model serving (KServe), and automated machine learning (Katib). Each component of Kubeflow can be deployed separately
Kubeflow
Academic journal
such as data ecosystems, interactive and automated machine learning, explainable AI, privacy, graph learning and topological data analysis The journal
Machine Learning and Knowledge Extraction
Machine_Learning_and_Knowledge_Extraction
Representation learning technique
In machine learning, embedding is a representation learning technique that maps complex, high-dimensional data into a lower-dimensional vector space of
Embedding_(machine_learning)
Device used to perform financial transactions
An automated teller machine (ATM) is an electronic telecommunications device that enables customers of financial institutions to perform financial transactions
ATM
Automated machine learning system
Auto-WEKA is an automated machine learning system based on Weka by Chris Thornton, Frank Hutter, Holger H. Hoos and Kevin Leyton-Brown. An extended version
Auto-WEKA
Type of AI with wide-ranging abilities
Emulation of animal or human brain Automated machine learning – Process of automating the application of machine learning BRAIN Initiative – Public-private
Artificial general intelligence
Artificial_general_intelligence
German computer scientist
to machine learning, particularly in the areas of automated machine learning (AutoML), hyperparameter optimization, meta-learning and tabular machine learning
Frank_Hutter
Information extraction method
research articles, and other narrative documents. Unlike fully automated machine learning systems, Text Nailing emphasizes a "human-in-the-loop" approach:
Text_nailing
Mathematical modelling alogorithm
influenced modern machine learning techniques and is recognised as one of the earliest approaches to automated machine learning and deep learning. A GMDH model
Group_method_of_data_handling
Decision-making process conducted with varying degrees of human oversight
algorithms, machine learning, natural language processing, artificial intelligence, augmented intelligence and robotics. The increasing use of automated decision-making
Automated_decision-making
Computerized translation between natural languages
automatic high-quality machine translation of unrestricted text, many fully automated systems produce reasonable output. The quality of machine translation is
Machine_translation
Interdisciplinary research area
Quantum machine learning (QML) is the study of quantum algorithms for machine learning. It often refers to quantum algorithms for machine learning tasks
Quantum_machine_learning
German computer scientist
of machine learning at the institute of artificial intelligence of the Leibniz University Hannover. He is known for his research on Automated Machine Learning
Marius_Lindauer
Identity verification software company
checked against global databases for any issues. It uses manual and automated machine learning technologies, including optical character recognition and face
Onfido
AI whose outputs can be understood by humans
safety and scrutinize the automated decision making in applications. XAI counters the "black box" tendency of machine learning, where even the AI's designers
Explainable artificial intelligence
Explainable_artificial_intelligence
Open source platform
clustering and principal component analysis. Automated machine learning: a features designed to automate the processes of model selection, tuning, and
H2O_(software)
Categorization of data using statistics
are considered to be possible values of the dependent variable. In machine learning, the observations are often known as instances, the explanatory variables
Statistical_classification
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)
Measurement of algorithmic bias
Fairness in machine learning (ML) refers to the various attempts to correct algorithmic bias in automated decision processes based on ML models. Decisions
Fairness_(machine_learning)
Automated recognition of patterns and regularities in data
retrieval, bioinformatics, data compression, computer graphics and machine learning. Pattern recognition has its origins in statistics and engineering;
Pattern_recognition
Suite of machine learning software written in Java
underpins the PMI (Plugin for Machine Intelligence) open source component. Auto-WEKA is an automated machine learning system for Weka. Environment for
Weka_(software)
Measurable property or characteristic
combination of automated techniques with the intuition and knowledge of the domain expert. Automating this process is feature learning, where a machine not only
Feature_(machine_learning)
Artificial intelligence system for discovering matrix multiplication algorithms
work was connected to broader research in algorithm discovery, automated machine learning, program synthesis, and computational complexity theory, especially
AlphaTensor
Vietnamese-American computer scientist (born 1982)
neural architecture search. This project significantly advanced automated machine learning. This work led to EfficientNet, a family of image recognition
Quoc_V._Le
List of concepts in artificial intelligence
systems over time, and may be used for automated planning. action model learning An area of machine learning concerned with creation and modification
Glossary of artificial intelligence
Glossary_of_artificial_intelligence
Topics referred to by the same term
Information System Automated machine learning (AutoML), the process of automating the end-to-end process of applying machine learning to real-world problems
AML
Set of learning techniques in machine learning
In machine learning (ML), feature learning or representation learning is a set of techniques that allow a system to automatically discover the representations
Feature_learning
Deep learning training framework
Foundation. Horovod was created at Uber as part of the company's internal machine learning platform Michelangelo to simplify scaling TensorFlow models across
Horovod_(machine_learning)
Type of computer programming
vulnerabilities in the resulting software. Automatic bug fixing Automated machine learning Comparison of code generation tools Feature-oriented programming
Automatic_programming
Method for aligning biological sequences
Evolutionary Neural Architecture Search. International Conference on Automated Machine Learning (AutoML 2024). Paris. NW-align: A protein sequence-to-sequence
Needleman–Wunsch_algorithm
Process of finding the optimal set of variables for a machine learning algorithm
In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter
Hyperparameter_optimization
Use of various control systems for operating equipment
success of the man-machine relationship. The goal of this program is to have the first fully automated highway roadway or an automated test track in operation
Automation
Set of machine learning methods
reducing bias due to kernel selection while allowing for more automated machine learning methods, and b) combining data from different sources (e.g. sound
Multiple_kernel_learning
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
intelligence (AI) for search, automated reasoning, knowledge representation and reasoning, planning, machine learning, deep learning, natural language processing
List of artificial intelligence algorithms
List_of_artificial_intelligence_algorithms
Use of software programs to generate taxonomical classifications from a body of texts
generation Automated outline induction Automated outline learning Automated outlining Automated taxonomy building Automated taxonomy construction Automated taxonomy
Automatic taxonomy construction
Automatic_taxonomy_construction
Machine learning library
It included the addition of a Model Builder tool and AutoML (Automated Machine Learning) capabilities. Build 1.3.1 introduced a preview of Deep Neural
ML.NET
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
Artificial intelligence in IT operations
Operations) refers to the use of artificial intelligence, machine learning, and big data analytics to automate and enhance data center management. It helps organizations
AIOps
Swedish software company
Salt Lake City-based Big Squid, a leading provider of no-code automated machine learning. The company also went on to acquire NodeGraph, a customizable
Qlik
Structuring text as input to generative artificial intelligence
explored automated prompt engineering, using optimization algorithms to generate or refine prompts without human intervention. These automated approaches
Prompt_engineering
Technological phenomenon with social implications
Algorithmic amplification Automated decision-making Digital redlining Ethics of artificial intelligence Fairness (machine learning) Hallucination (artificial
Algorithmic_bias
Using concrete examples to teach computers behaviors
to automate a workflow in a complex tool (e.g. Photoshop), the most simple case of PbD is the macro recorder. Query by Example Automated machine learning
Programming_by_example
Solving multiple machine learning tasks at the same time
Multi-task learning (MTL) is a subfield of machine learning in which multiple learning tasks are solved at the same time, while exploiting commonalities
Multi-task_learning
Type of software system
research demonstrations as most previous automated reasoning systems had been. The engine used for automated reasoning in expert systems were typically
Reasoning_system
Technology and methods used to provide imaging-based automatic inspection and analysis
imaging, followed by automated analysis of the image and extraction of the required information. Definitions of the term "Machine vision" vary, but all
Machine_vision
Overview of and topical guide to algorithms
computer) AlphaDev AlphaEvolve AlphaTensor Neural architecture search Automated machine learning Program synthesis Advanced Encryption Standard Data Encryption
Outline_of_algorithms
Data processing algorithm
manual algorithm, in experimental results. Recent advancements in automated machine learning (AutoML) have extended to the domain of clustering, where systems
Automatic clustering algorithms
Automatic_clustering_algorithms
various meta-optimization techniques was done by Smit and Eiben. Automated machine learning (AutoML) Hyper-heuristics Mercer, R.E.; Sampson, J.R. (1978).
Meta-optimization
Form of artificial intelligence
(those with direct encodings are necessarily non-embryogenic): Automated machine learning (AutoML) Evolutionary computation NeuroEvolution of Augmenting
Neuroevolution
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
Artificial intelligence governance
machine learning models but also the continuous retraining, automated updating, and synchronized development and deployment of more complex machine learning
ModelOps
Process in which a first language is being acquired
on statistical machine translation. Language acquisition can be modeled as a machine learning process, which may be based on learning semantic parsers
Language_acquisition
Hypothetical self-improving program
Gödel machine is often discussed when dealing with issues of meta-learning, also known as "learning to learn." Applications include automating human design
Gödel_machine
French-born researcher in machine learning (born 1961)
problems in machine learning, including computer vision, neurosciences, particle physics, feature selection, causality and automated machine learning. Most
Isabelle_Guyon
British computer scientist
in a journal summary review, and a more practical method for automated machine learning of system behavioural characters. This incorporated the idea of
Mark Burgess (computer scientist)
Mark_Burgess_(computer_scientist)
Microsoft open source library
(August 21, 2019). "Automated machine learning or AutoML explained". InfoWorld. "15 Undiscovered & Open Source Machine Learning Frameworks You Need to
Neural_Network_Intelligence
Applications of machine learning to quantum physics
Applying machine learning (ML) (including deep learning) methods to the study of quantum systems is an emergent area of physics research. A basic example
Machine_learning_in_physics
Machine which dispenses products to customers
A vending machine is an automated machine that dispenses items such as snacks, beverages, cigarettes, and lottery tickets to consumers after cash, a credit
Vending_machine
Technique to make a model more generalizable and transferable
mathematics, statistics, finance, and computer science, particularly in machine learning and inverse problems, regularization is a process that converts the
Regularization_(mathematics)
Educational software application
algorithms to make automated recommendations for courses based on a user's skill profile as well as extract metadata from learning materials to make such
Learning_management_system
Extracting features from raw data for machine learning
a research topic that dates back to the 1990s. Machine learning software that incorporates automated feature engineering has been commercially available
Feature_engineering
Turkish computer scientist
several occasions. Seker's research focuses on Responsible AI, Automated machine learning and explainable artificial intelligence. Seker, wrote the book
Sadi_Evren_Seker
Machine learning paradigm
Self-supervised learning (SSL) is a paradigm in machine learning where a model is trained on a task using the data itself to generate supervisory signals
Self-supervised_learning
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
American software company
or annotating images to train machine learning algorithms. Figure Eight's software automates tasks for machine learning algorithms, which can be used
Figure_Eight_Inc.
predictive analysis and insight discovery. Artificial intelligence and machine learning have become key enablers to leverage data in production in recent years
Artificial intelligence in industry
Artificial_intelligence_in_industry
Task of selecting a statistical model from a set of candidate models
methods. All models are wrong Analysis of competing hypotheses Automated machine learning (AutoML) Bias-variance dilemma Feature selection Freedman's paradox
Model_selection
American company
Hive is an American artificial intelligence company offering machine learning models via APIs to enterprise customers. Hive uses around 700,000 gig workers
Hive (artificial intelligence company)
Hive_(artificial_intelligence_company)
such as the tree-based pipeline optimization tool (TPOT) for automated machine learning and data science. Current work also focuses on methods and software
Jason_H._Moore
Unemployment caused by technological change
medical doctors' jobs would be lost in the next two decades to automated machine learning medical diagnostic software. A recent study by researchers at
Technological_unemployment
Action model learning (sometimes abbreviated action learning) is an area of machine learning concerned with the creation and modification of a software
Action_model_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
Intelligence of machines
and takes actions to make them happen. In automated planning, the agent has a specific goal. In automated decision-making, the agent has preferences—there
Artificial_intelligence
Subtopic of natural language processing in artificial intelligence
commercial interest in the field because of its application to automated reasoning, machine translation, question answering, news-gathering, text categorization
Natural language understanding
Natural_language_understanding
Language models designed for reasoning tasks
evaluation, Verilog engineering tasks, and network security assessments. Automated reasoning Reflection (artificial intelligence) Large language model Besta
Reasoning_model
Branch of artificial intelligence
Fernández, Fernando and Borrajo, Daniel (2012). "A review of machine learning for automated planning". The Knowledge Engineering Review. 27 (4): 433–467
Automated planning and scheduling
Automated_planning_and_scheduling
Right to have an algorithm explained
digital technologies, artificial intelligence, machine learning. In other words, that the related automated decision making systems that use explainability
Right_to_explanation
Rule-like system shaping how people should feel
established by international justice actors. YouTube's introduction of automated machine-learning deletion systems in 2017 led to the removal of hundreds of thousands
Emotion_regime
Data analysis approach
exploration is typically conducted using a combination of automated and manual activities. Automated activities can include data profiling or data visualization
Data_exploration
Topics referred to by the same term
signaling pathway Hyperparameter optimization, a technique used in automated machine learning This disambiguation page lists articles associated with the title
HPO
Methods in artificial intelligence research
expert systems), symbolic mathematics, automated theorem provers, ontologies, the semantic web, and automated planning and scheduling systems. The Symbolic
Symbolic artificial intelligence
Symbolic_artificial_intelligence
Type of machine learning model
and performance via collaborative platforms such as Hugging Face. As machine learning algorithms process numbers rather than text, the text must be converted
Large_language_model
Computational search for optimal designs
Product Configurator. Extending Computer-Aided Design (CAD), automated design and Computer-Automated Design (CAutoD) are more concerned with a broader range
Computer-automated_design
Machine learning algorithm
Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or
Decision_tree_learning
2020 non-fiction book by Brian Christian
The Alignment Problem: Machine Learning and Human Values is a 2020 non-fiction book by the American writer Brian Christian. It is based on numerous interviews
The_Alignment_Problem
Automatic grading of educational assignments
Bayesian inference. The automated essay scoring task has also been studied in the cross-domain setting using machine learning models, where the models
Automated_essay_scoring
Deep learning artificial intelligence research team
to artificial intelligence. Formed in 2011, it combined open-ended machine learning research with information systems and large-scale computing resources
Google_Brain
Structure in biology and artificial intelligence
nervous systems – a population of nerve cells connected by synapses. In machine learning, an artificial neural network is a mathematical model used to approximate
Neural_network
University of Texas at Austin, was created to study the use of automated and semi-automated knowledge integration to assist knowledge engineers constructing
Knowledge_integration
Artificial production of media by automated means
Paradigms of Automated Music Generation, pp. 36 & 38n7. ISBN 978-3-211-75539-6. Dartmouth conference: McCorduck, Pamela (2004), Machines Who Think (2nd ed
Synthetic_media
American video surveillance company
Flock Safety's network consists of cameras, image recognition, and machine learning, which share data with police departments. Flock differs from its competitors
Flock_Safety
blueprints for guided analytics workflows with a special focus on automated machine learning. KNIME proposed guided analytics as a key mechanism to abstract
Guided_analytics
Erroneous AI-generated content
there was "little dispute" that consumer gadgets, and systems such as automated driving, were susceptible to adversarial attacks that could cause AI to
Hallucination (artificial intelligence)
Hallucination_(artificial_intelligence)
AUTOMATED MACHINE-LEARNING
AUTOMATED MACHINE-LEARNING
Female
Hawaiian
Hawaiian name MAHINA means "moon; moonlight."
Girl/Female
Australian, Japanese
Child of Machi
Female
Yiddish
(×™Ö·×—Ö°× Ö¶×¢) Yiddish form of Hebrew Yochana, YACHNE means "God is gracious."Â
Male
English
Pet form of English Sacheverell, SACHIE means "roe-buck leap."
Female
French
French feminine form of Latin Martinus, MARTINE means "of/like Mars."Â
Male
French
French form of Latin Macarius, MACAIRE means "blessed."
Female
French
Feminine form of French Marin, MARINE means "of the sea."
Female
English
Feminine form of English Max, MAXINE means either "the greatest rival" or "the stream of Mack."Â
Female
Scottish
Feminine form of Scottish Lachlan, LACHINA means "lake-land."
Female
Native American
Native American Hopi name KACHINA means "sacred dancer; spirit."
Male
Scottish
Pet form of Scottish Gaelic Lachlann, LACHIE means "lake-land."
Surname or Lastname
English
English : variant spelling of Machen.Spanish (MachÃn) : probably a nickname from machÃn ‘boor’, ‘lout’, often applied to a blacksmith’s apprentice.French : nickname from Old French machin ‘scheming’.
Female
German
German form of Scottish Malvina, MALWINE means "smooth-brow."
Male
Hebrew
Variant spelling of Hebrew Yakiyn, YACHIN means "he establishes" or "whom God strengthens."Â
Male
English
Variant spelling of English unisex Macey, MACIE means "gift of God."
Girl/Female
Bengali, Indian
Machine
Male
Hindi/Indian
(सचिन) Hindi myth name borne by Indra, SACHIN means "pure."
Boy/Male
American, Australian
Weighing Machine
Female
English
Variant spelling of English Maureen, MAURINE means "obstinacy, rebelliousness" or "their rebellion."
Surname or Lastname
English
English : occupational name for a stonemason, Anglo-Norman French machun, a Norman dialect variant of Old French masson (see Mason).
AUTOMATED MACHINE-LEARNING
AUTOMATED MACHINE-LEARNING
Surname or Lastname
English
English : possibly a variant of Trumble.Possibly a variant spelling of German Trindl, from a Bavarian and Swabian nickname for a slow person, or alternatively an altered spelling of Drindle, from a South German short form of the personal name Katharina (see Catherine).
Girl/Female
Celebrity, Gujarati, Hindu, Indian, Kannada, Marathi, Sindhi, Tamil, Telugu
Singer
Girl/Female
Hindu
Sweet Basil, Sweet smelling plant
Boy/Male
Hindu, Indian, Telugu
Lord Vishnu
Girl/Female
Hindu
Female
Swedish
Feminine form of Swedish Mikael, MIKAELA means "who is like God?"
Male
Native American
Native American Sioux name ODAKOTA means "friend."
Girl/Female
American, Australian, British, Chinese, Christian, English, French, Gujarati, Indian, Kannada, Punjabi, Sikh, Sindhi, Telugu
Highest Lady; Wife of a King
Boy/Male
Indian
Beautiful
Boy/Male
Celtic Irish English Gaelic Scottish
Bard.
AUTOMATED MACHINE-LEARNING
AUTOMATED MACHINE-LEARNING
AUTOMATED MACHINE-LEARNING
AUTOMATED MACHINE-LEARNING
AUTOMATED MACHINE-LEARNING
v. t.
To subject to the action of machinery; to effect by aid of machinery; to print with a printing machine.
n.
One who or operates a machine; a machinist.
a.
Automatic.
n.
The working parts of a machine, engine, or instrument; as, the machinery of a watch.
n.
A machine or automaton in the form of a human being.
n.
Machines, in general, or collectively.
a.
A picture representing some marine subject.
v. t.
To contrive, as a plot; to plot; as, to machinate evil.
imp. & p. p.
of Machine
a.
Of or pertaining to cows; pertaining to, derived from, or caused by, vaccinia; as, vaccine virus; the vaccine disease.
n.
A combination of persons acting together for a common purpose, with the agencies which they use; as, the social machine.
v. t.
To wind marline around; as, to marline a rope.
pl.
of Tachina
n.
In general, any combination of bodies so connected that their relative motions are constrained, and by means of which force and motion may be transmitted and modified, as a screw and its nut, or a lever arranged to turn about a fulcrum or a pulley about its pivot, etc.; especially, a construction, more or less complex, consisting of a combination of moving parts, or simple mechanical elements, as wheels, levers, cams, etc., with their supports and connecting framework, calculated to constitute a prime mover, or to receive force and motion from a prime mover or from another machine, and transmit, modify, and apply them to the production of some desired mechanical effect or work, as weaving by a loom, or the excitation of electricity by an electrical machine.
a.
Pertaining to, or produced by, an automaton; of the nature of an automaton; self-acting or self-regulating under fixed conditions; -- esp. applied to machinery or devices in which certain things formerly or usually done by hand are done by the machine or device itself; as, the automatic feed of a lathe; automatic gas lighting; an automatic engine or switch; an automatic mouse.
pl.
of Automaton
v. i.
A self-moving machine, or one which has its motive power within itself; -- applied chiefly to machines which appear to imitate spontaneously the motions of living beings, such as men, birds, etc.
a.
Of or pertaining to machines.