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1. Kernel method: In machine learning, kernel machines are a class of algorithms for pattern analysis, whose best known member is the support-vector machine (SVM). The general task of pattern analysis is to find and study general types of relations (for example ... (Class of algorithms for pattern analysis) [100%] 2022-10-19 [Kernel methods for machine learning] [Geostatistics]...
2. 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) [98%] 2023-12-30 [Machine learning] [Cybernetics]...
3. 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. [98%] 2023-12-29 [Machine learning] [Cybernetics]...
4. 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 ... [98%] 2023-12-29 [Technology] [Artificial intelligence]...
5. 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) [98%] 2023-12-12 [Machine learning] [Cybernetics]...
6. 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 ... [98%] 2023-12-31 [Machine learning]
7. 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) [98%] 2023-10-24
8. 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 ... [98%] 2024-01-21
9. Machine Learning (revue): Pour l’article homonyme, voir Machine learning. Machine Learning est une revue scientifique révisée par les pairs traitant d'apprentissage automatique, publiée depuis 1986. (Revue) [98%] 2025-07-03
10. Kernel methods for vector output: Kernel methods are a well-established tool to analyze the relationship between input data and the corresponding output of a function. Kernels encapsulate the properties of functions in a computationally efficient way and allow algorithms to easily swap functions of ... [90%] 2023-08-16 [Machine learning algorithms] [Kernel methods for machine learning]...
11. Kernel methods for vector output: Kernel methods are a well-established tool to analyze the relationship between input data and the corresponding output of a function. Kernels encapsulate the properties of functions in a computationally efficient way and allow algorithms to easily swap functions of ... [90%] 2024-02-20 [Machine learning algorithms] [Kernel methods for machine learning]...
12. Multiple kernel learning: Multiple kernel learning refers to a set of machine learning methods that use a predefined set of kernels and learn an optimal linear or non-linear combination of kernels as part of the algorithm. Reasons to use multiple kernel learning ... (Set of machine learning methods) [88%] 2023-09-15 [Machine learning algorithms] [Data mining]...
13. 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) [84%] 2024-01-01 [Machine learning researchers]
14. 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 ... [84%] 2023-11-12 [First order methods] [Convex optimization]...
15. Kernel (statistics): The term kernel is used in statistical analysis to refer to a window function. The term "kernel" has several distinct meanings in different branches of statistics. (Statistics) [83%] 2023-12-03 [Nonparametric statistics] [Time series]...
16. Kernel (algebra): In algebra, the kernel of a homomorphism (function that preserves the structure) is generally the inverse image of 0 (except for groups whose operation is denoted multiplicatively, where the kernel is the inverse image of 1). An important special case ... (Algebra) [83%] 2023-12-07 [Algebra] [Isomorphism theorems]...
17. Kernel (linear algebra): In mathematics, the kernel of a linear map, also known as the null space or nullspace, is the linear subspace of the domain of the map which is mapped to the zero vector. That is, given a linear map L ... (Linear algebra) [83%] 2023-10-17 [Linear algebra] [Functional analysis]...
18. Kernel: Kernel has more than one meaning. As such, this article is merely a disambiguation page, listing articles associated with Kernel. [83%] 2023-07-05
19. Kernel (operating system): The kernel is a computer program at the core of a computer's operating system and generally has complete control over everything in the system. The kernel is also responsible for preventing and mitigating conflicts between different processes. (Operating system) [83%] 2024-01-12 [Operating system kernels] [Operating systems]...
20. Kernel (neurotechnology company): Kernel is a technology company that creates brain–machine interfaces. It is a privately held company headquartered in Los Angeles, California. (Company) [83%] 2023-12-20 [Brain–computer interfacing] [Companies (Engineering)]...