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1. Machine learning: Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can effectively generalize and thus perform tasks without explicit instructions. Recently, generative artificial neural networks have been able to ... (Study of algorithms that improve automatically through experience) [100%] 2023-12-30 [Machine learning] [Cybernetics]...
2. Machine learning: Machine learning (ML) it is the study of computer algorithms that may improve automatically via experience and the usage of data. It is considered to be a subset of artificial intelligence. [100%] 2023-12-29 [Machine learning] [Cybernetics]...
3. Machine learning: Machine learning is a set of techniques and algorithms that allow computer programs to learn simple or complex tasks by analyzing some training data (or examples of how they should behave). Some believe machine learning is the first stage in ... [100%] 2023-12-29 [Technology] [Artificial intelligence]...
4. Machine learning: Machine learning (ML) is a field devoted to understanding and building methods that let machines "learn" – that is, methods that leverage data to improve computer performance on some set of tasks. Machine learning algorithms build a model based on sample ... (Study of algorithms that improve automatically through experience) [100%] 2023-12-12 [Machine learning] [Cybernetics]...
5. Machine learning: Machine learning is a scientific discipline that is concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases. A major focus of machine learning research ... [100%] 2023-12-31 [Machine learning]
6. Machine learning: ML Machine learning is concerned with modifying the knowledge representation structures (or knowledge base) underlying a computer program such that its problem-solving capability improves (for surveys, cf. , ). (Mathematics) [100%] 2023-10-24
7. Machine learning: Machine learning methods automatically learn statistical regularities in a training data set to make accurate predictions about new data. Two definitions are: For example, a machine learning algorithm for Machine translation may be presented with several thousand examples of sentences ... [100%] 2024-01-21
8. Australian Institute for Machine Learning: The Australian Institute for Machine Learning (AIML) is an artificial intelligence (AI) and machine learning research and translation institute based at the Lot Fourteen innovation precinct in Adelaide, South Australia. An institute of the University of Adelaide, AIML was established ... (Organization) [85%] 2024-01-01 [Machine learning researchers]
9. Proximal gradient methods for learning: Proximal gradient (forward backward splitting) methods for learning is an area of research in optimization and statistical learning theory which studies algorithms for a general class of convex regularization problems where the regularization penalty may not be differentiable. One such ... [85%] 2023-11-12 [First order methods] [Convex optimization]...
10. Quantum machine learning: Quantum machine learning is the integration of quantum algorithms within machine learning programs.Cite error: Closing missing for tag The first letter refers to whether the system under study is classical or quantum, while the second letter defines whether a ... (Engineering) [81%] 2023-09-15 [Machine learning] [Quantum information science]...
11. Quantum machine learning: Quantum machine learning is the integration of quantum algorithms within machine learning programs. The most common use of the term refers to machine learning algorithms for the analysis of classical data executed on a quantum computer, i.e. (Interdisciplinary research area at the intersection of quantum physics and machine learning) [81%] 2023-12-29 [Machine learning] [Quantum information science]...
12. Machine learning potential: Beginning in the 1990s, researchers have employed machine learning programs to construct interatomic potentials, mapping atomic structures to their potential energies. Such machine learning potentials promised to fill the gap between density functional theory, a highly-accurate but computationally-intensive ... [81%] 2023-12-29 [Machine learning] [Materials science]...
13. Logic learning machine: Logic learning machine (LLM) is a machine learning method based on the generation of intelligible rules. LLM is an efficient implementation of the Switching Neural Network (SNN) paradigm, developed by Marco Muselli, Senior Researcher at the Italian National Research Council ... (Machine learning method) [81%] 2023-12-12 [Classification algorithms] [Machine learning algorithms]...
14. Online machine learning: In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update the best predictor for future data at each step, as opposed to batch learning ... (Method of machine learning) [81%] 2023-12-12 [Machine learning algorithms]
15. Adversarial machine learning: Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. A survey from May 2020 exposes the fact that practitioners report a dire need for better protecting machine learning systems ... (Research field that lies at the intersection of machine learning and computer security) [81%] 2023-09-15 [Machine learning] [Computer security]...
16. Automated machine learning: Automated machine learning (AutoML) is the process of automating the tasks of applying machine learning to real-world problems. AutoML potentially includes every stage from beginning with a raw dataset to building a machine learning model ready for deployment. (Process of automating the application of machine learning) [81%] 2023-08-22 [Machine learning]
17. Automated 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 of automation and ML. (Process of automating the application of machine learning) [81%] 2024-08-07 [Machine learning]
18. Fog machine: A fog machine, fog generator, or smoke machine is a device that emits a dense vapor that appears similar to fog or smoke. This artificial fog is most commonly used in professional entertainment applications, but smaller, more affordable fog machines ... (Device that emits a dense vapor that appears similar to fog or smoke) [74%] 2023-12-13 [Special effects]
19. List of datasets for machine-learning research: These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. (none) [72%] 2023-12-31 [Datasets in machine learning]
20. List of datasets for machine learning research: These datasets are used for machine-learning research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. [72%] 2023-12-29 [Datasets in machine learning] [Machine learning]...