The Journal of Machine Learning Research is a peer-reviewed open access scientific journal covering machine learning. It was established in 2000 and the...

editorial board of Machine Learning resigned in order to support the Journal of Machine Learning Research (JMLR), saying that in the era of the internet, it was...

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 (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning...

Reinforcement learning Bengio, Yoshua; Ducharme, Réjean; Vincent, Pascal (2003). "A Neural Probabilistic Language Model". Journal of Machine Learning Research. 3:...

conferences of high impact in machine learning and artificial intelligence research. It is supported by the International Machine Learning Society (IMLS)...

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...

Learning-Curve Sampling Method Applied to Model-Based Clustering". Journal of Machine Learning Research. 2 (3): 397. Archived from the original on 2013-07-15. scikit-learn...

deep learning (TDL) is a research field that extends deep learning to handle complex, non-Euclidean data structures. Traditional deep learning models...

In machine learning, support vector machines (SVMs, also support vector networks) are supervised max-margin models with associated learning algorithms...

of research areas including defence, telecommunications, the Internet of things, and pharmaceuticals. Federated learning aims at training a machine learning...

and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from any of the...

"Exploring the limits of transfer learning with a unified text-to-text transformer". The Journal of Machine Learning Research. 21 (1): 140:5485–140:5551...

Journal of Machine Learning Research. 2: 51–86. Hofmann, Thomas; Schölkopf, Bernhard; Smola, Alexander J. (2008). "Kernel methods in machine learning"...

(PDF). Journal of Machine Learning Research. 9: 937–965. Schmidhuber, Jürgen (1992). "Learning complex, extended sequences using the principle of history...

In machine learning, attention is a method that determines the importance of each component in a sequence relative to the other components in that sequence...

Springer Machine Learning (journal) – Springer Journal of Machine Learning Research (JMLR) – Microtome Transactions on Machine Learning Research – Community-run...

outline is provided as an overview of, and topical guide to, machine learning: Machine learning (ML) is a subfield of artificial intelligence within computer...

Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Reinforcement learning differs...

(2020). "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer". Journal of Machine Learning Research. 21 (140): 1–67. arXiv:1910...

Nature Machine Intelligence is a monthly peer-reviewed scientific journal published by Nature Portfolio covering machine learning and artificial intelligence...

(March 2003). "A neural probabilistic language model". The Journal of Machine Learning Research. 3: 1137–1155. "Papers with Code – MLP-Mixer: An all-MLP...

Machine Learning and Knowledge Extraction (stylised as MAKE) is a peer-reviewed open-access scientific journal covering research on machine learning, knowledge...

In machine learning, feature selection is the process of selecting a subset of relevant features (variables, predictors) for use in model construction...

Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or...

Search Engine Journal. Retrieved March 10, 2023. "Scaling Instruction-Finetuned Language Models" (PDF). Journal of Machine Learning Research. 2024. Wei,...

Journal of Machine Learning Research. 15 (1): 1929–1958. Archived (PDF) from the original on 2016-01-19. Retrieved 2015-01-03. "Regularization of Neural...

linear non-Gaussian structural equation model" (PDF). The Journal of Machine Learning Research. 12: 1225–1248. arXiv:1101.2489. Archived (PDF) from the...

Globerson, Amir (2007). "Euclidean Embedding of Co-occurrence Data" (PDF). Journal of Machine Learning Research. Qureshi, M. Atif; Greene, Derek (2018-06-04)...

In machine learning (ML), boosting is an ensemble learning method that combines a set of less accurate models (called "weak learners") to create a single...