Machine Learning Research Journal

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Journal of Machine Learning Research

(7 days ago) Journal of Machine Learning Research. The Journal of Machine Learning Research (JMLR), established in 2000, provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning.All published papers are freely available online. JMLR has a commitment to rigorous yet rapid reviewing.

https://jmlr.org/

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JMLR Home - Journal of Machine Learning Research

(1 days ago) The Journal of Machine Learning Research (JMLR) provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. JMLR seeks previously unpublished papers that contain: new algorithms with empirical, theoretical, psychological, or biological justification;

https://dl.acm.org/journal/jmlr

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Machine Learning Research.com

(5 days ago) The journal is intended for academics, practitioners and researchers who are interested in such subjects of academic research . The publishing process for Machine Learning is to publish new original papers that have been appropriately reviewed by skilled scientific experts.

https://research.com/journal/machine-learning

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Home : Machine Learning Research

(6 days ago) The special issue is a collection of articles dedicated to one chosen topic within the scope of the journal. It should contain the latest work on that subject. If a special issue is organized successfully, it can be a unique and valuable reference source for every researcher interested in …

http://www.mlrjournal.org/

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Journal of Machine Learning Research

(3 days ago) The Journal of Machine Learning Research (JMLR) provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. All published papers are freely available online. JMLR …

https://www.scimagojr.com/journalsearch.php?q=20969&tip=sid

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Journal of Machine Learning Research

(2 days ago) Alexander Novikov, Pavel Izmailov, Valentin Khrulkov, Michael Figurnov, Ivan Oseledets; (30):1−7, 2020. (Machine Learning Open Source Software Paper) Emmanuel Abbe, Sanjeev Kulkarni, Eun Jee Lee; (31):1−36, 2020. Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping.

https://www.jmlr.org/papers/v21/

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Journal of Machine Learning Research Research.com

(5 days ago) The journal encourages submissions from the research community where emphasis will be placed on the innovativeness and the practical importance of the reported findings. Journal of Machine Learning Research is listed in a wide variety of abstracting and indexing databases like Scopus, Web of Science and Guide2Research.

https://research.com/journal/journal-of-machine-learning-research

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Top Computer Science Journals for Machine Learning, Data

(2 days ago) Top Computer Science Journals for Machine Learning, Data Mining & Artificial Intelligence. The ranking of top journals for computer science was published by Research.com, one of the prominent websites for computer science research providing trusted data on scientific contributions since 2014. The position in the ranking is based on a unique

https://research.com/journals-rankings/computer-science/machine-learning

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Journal of Machine Learning Research

(2 days ago) Transactions on Machine Learning Research. Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research that is intended to complement JMLR while supporting the unmet needs of a growing ML community. TMLR emphasizes technical correctness over subjective significance, to ensure that we facilitate

https://jmlr.org/tmlr/

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Journal of Machine Learning Research - Academic Torrents

(6 days ago) The Interplay of Optimization and Machine Learning Research (Special Topic on Machine Learning and Optimization) 1: 2014-04-28: 118.18kB: 58: 1+ 0: Bayesian Generalized Kernel Mixed Models: 1: 2014-04-28: 340.76kB: 48: 1+ 0: Minimum Description Length Penalization for Group and Multi-Task Sparse Learning: 1: 2014-04-28: 317.95kB: 45: 1+ 0

https://academictorrents.com/collection/journal-of-machine-learning-research

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(PDF) Machine Learning Algorithms -A Review

(8 days ago) Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without being explicitly programmed. Learning algorithms in

https://www.researchgate.net/publication/344717762_Machine_Learning_Algorithms_-A_Review

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Recent Articles - Machine Learning with Applications

(4 days ago) Machine Learning with Applications (MLWA) is a peer reviewed, open access journal focused on research related to machine learning

https://www.journals.elsevier.com/machine-learning-with-applications/recent-articles

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Machine Learning Home

(8 days ago) Machine Learning. Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems. The journal features papers that describe research on problems and methods, applications

https://www.springer.com/journal/10994

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Journal of Machine Learning Research Standard Journal

(Just Now) The Journal of Machine Learning Research is a peer-reviewed open access scientific journal covering machine learning. It was established in 2000 and the first editor-in-chief was Leslie Kaelbling. The current editors-in-chief are Francis Bach (Inria), David Blei (Columbia University) and Bernhard Schölkopf (Max Planck Institute for

https://academic-accelerator.com/Journal-Abbreviation/Journal-of-Machine-Learning-Research

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(PDF) Classification of Astrophysics Journal Articles with

(5 days ago) Classification of Astrophysics Journal Articles with Machine Learning to Iden tify Data for NED Tracy X. Chen , 1 Rick Ebert , 1 Joseph M. Mazzarella , 1 Cren …

https://www.researchgate.net/publication/357766057_Classification_of_Astrophysics_Journal_Articles_with_Machine_Learning_to_Identify_Data_for_NED

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Machine learning techniques accurately classify microbial

(1 days ago) Microbial communities are important to human health. Bacterial vaginosis (BV) is a disease associated with the vagina microbiome. While the causes of BV are unknown, the microbial community in the vagina appears to play a role. We use three different machine-learning techniques to classify microbial …

https://pubmed.ncbi.nlm.nih.gov/24498380/

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Machine-Learning Research in the Space Weather Journal

(6 days ago) Manuscripts based on machine-learning techniques have significantly increased in Space Weather over the past few years. We discuss which manuscripts are within the journal's scope and emphasize that manuscripts focusing purely on a forecasting technique (rather than on understanding and forecasting a phenomenon) must correspond to a substantial improvement …

https://kyushu-u.pure.elsevier.com/en/publications/machine-learning-research-in-the-space-weather-journal-prospects-

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Journal of Machine Learning Research

(8 days ago) MushroomRL: Simplifying Reinforcement Learning Research Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters; (131):1−5, 2021. (Machine Learning Open Source Software Paper) Locally Differentially-Private Randomized Response for Discrete Distribution Learning

https://jmlr.csail.mit.edu/papers/v22/

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(PDF) An Overview of Machine Learning and its Applications

(3 days ago) Machine learning, by its d efinition, is a field of co mputer. science that evolved from studying pattern recognition and. computational learning theo ry in artificial. intelligence. It is the

https://www.researchgate.net/publication/289980169_An_Overview_of_Machine_Learning_and_its_Applications

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Machine learning reduced workload for the Cochrane COVID

(6 days ago) This study developed, calibrated and evaluated a machine learning (ML) classifier designed to reduce study identification workload in maintaining the Cochrane COVID-19 Study Register (CCSR), a continuously updated register of COVID-19 research studies. A ML classifier for retrieving COVID-19 research studies (the ‘Cochrane COVID-19 Study Classifier’) was …

https://systematicreviewsjournal.biomedcentral.com/articles/10.1186/s13643-021-01880-6

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Visualizing Data using t-SNE - Journal of Machine Learning

(7 days ago) Journal of Machine Learning Research 9 (2008) 2579-2605 Submitted 5/08; Revised 9/08; Published 11/08 Visualizing Data using t-SNE Laurens van der Maaten [email protected] TiCC Tilburg University P.O. Box 90153, 5000 LE Tilburg, The Netherlands Geoffrey Hinton [email protected] Department of Computer …

https://jmlr.csail.mit.edu/papers/volume9/vandermaaten08a/vandermaaten08a.pdf

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Machine Learning with Applications - Journal - Elsevier

(8 days ago) Machine Learning with Applications (MLWA) is a peer reviewed, open access journal focused on research related to machine learning.The journal encompasses all aspects of research and development in ML, including but not limited to data mining, computer vision, natural language processing (NLP), intelligent systems, neural networks, AI-based software engineering, …

https://www.journals.elsevier.com/machine-learning-with-applications

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Prediction of Heart Disease Using Machine Learning Algorithms

(1 days ago) IJIRT 152152 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 643 Prediction of Heart Disease Using Machine Learning Algorithms Rachit Misra1, Pulkit Gupta2, Prashuk Jain3 1,2,3Meerut Institute of Engineering and Technology, India Abstract - heart disease prediction is one among the foremost complicated tasks in medical field.

https://ijirt.org/master/publishedpaper/IJIRT152152_PAPER.pdf

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Machine Learning Submission guidelines

(Just Now) Research Data Policy. This journal operates a type 1 research data policy. The journal encourages authors, where possible and applicable, to deposit data that support the findings of their research in a public repository. To find out more about publishing your work Open Access in Machine Learning, including information on fees, funding and

https://www.springer.com/journal/10994/submission-guidelines

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Machine Learning in Manufacturing Market Is Likely to

(4 days ago) 2 days ago · The ‘ Machine Learning in Manufacturing market’ research report added by Report Ocean, is an in-depth analysis of the latest developments, market size, status, upcoming technologies, industry

https://www.digitaljournal.com/pr/machine-learning-in-manufacturing-market-is-likely-to-experience-a-tremendous-growth-in-near-future-intel-ibm-siemens-ge

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Announcing the Transactions on Machine Learning Research

(1 days ago) This journal is a sister journal of the existing, well-known Journal of Machine Learning Research (JMLR), along with the Proceedings of Machine Learning Research (PMLR) and JMLR Machine Learning

https://medium.com/@hugo_larochelle_65309/announcing-the-transactions-on-machine-learning-research-3ea6101c936f

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Overview - Apple Machine Learning Research

(4 days ago) Apple machine learning teams are engaged in state of the art research in machine learning and artificial intelligence. Learn about the latest advancements.

https://machinelearning.apple.com/

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GluonCV and GluonNLP: Deep Learning in Computer Vision …

(Just Now) Deep learning, a sub- eld of machine learning research, has driven the rapid progress in arti cial intelligence research, leading to astonishing breakthroughs on long-standing prob- lems in a plethora of elds such as computer vision and natural language processing.

https://jmlr.org/papers/volume21/19-429/19-429.pdf

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(PDF) CUSTOMER SEGMENTATION USING MACHINE LEARNING …

(8 days ago) International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 08 Issue: 05 May 2021 www.irjet.net p-ISSN: 2395-0072 CUSTOMER SEGMENTATION USING MACHINE LEARNING V.Vijilesh1, A.Harini2, M.Hari Dharshini3, R.Priyadharshini4 1Associate Professor, Department of Information Technology, Kumaraguru …

https://www.academia.edu/53196893/CUSTOMER_SEGMENTATION_USING_MACHINE_LEARNING

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Journal of Machine Learning Research Peer-Review

(2 days ago) The Journal of Machine Learning Research is a peer-reviewed open access scientific journal covering machine learning. It was established in 2000 and the first editor-in-chief was Leslie Kaelbling. The current editors-in-chief are Francis Bach (Inria), David Blei (Columbia University) and Bernhard Schölkopf (Max Planck Institute for

https://academic-accelerator.com/Review-Speed/Journal-of-Machine-Learning-Research

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Journal of Machine Learning Research - Wikipedia

(6 days ago) The Journal of Machine Learning Research is a peer-reviewed open access scientific journal covering machine learning.It was established in 2000 and the first editor-in-chief was Leslie Kaelbling. The current editors-in-chief are Francis Bach (), David Blei (Columbia University) and Bernhard Schölkopf (Max Planck Institute for Intelligent Systems

https://en.wikipedia.org/wiki/Journal_of_Machine_Learning_Research

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Research Asks If Machine Learning Can Make Better

(Just Now) Research Asks If Machine Learning Can Make Better Enrollment Predictions. By Dian Schaffhauser; 12/07/21; Could artificial intelligence help school districts better predict their fall enrollments? That was the question a team of researchers asked on behalf of the School District of Philadelphia.

https://thejournal.com/articles/2021/12/07/research-asks-if-machine-learning-can-make-better-enrollment-predictions.aspx

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Literature Review on the Applications of Machine Learning

(Just Now) The emergence of machine learning (ML) and blockchain (BC) technology has greatly enriched the functions and services of healthcare, giving birth to the new field of “smart healthcare.” This study aims to review the application of ML and BC technology in the smart medical industry by Web of Science (WOS) using bibliometric …

https://www.hindawi.com/journals/jhe/2021/9739219/

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Machine Learning Research :: Science Publishing Group

(6 days ago) Machine Learning Research (MLR) is a scholarly open access, peer-reviewed, and fully refereed journal. This journal provides a unified forum for researchers and scientists to share the latest research and developments in all areas of machine learning. Articles presenting original research in the field, highlighting methodological aspects and providing experimental …

https://www.sciencepublishinggroup.com/journal/index?journalid=604

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Journal of Medical Internet Research - The Development and

(6 days ago) This paper is in the following e-collection/theme issue: Clinical Information and Decision Making (583) JMIR Theme Issue: COVID-19 Special Issue (1354) Machine Learning (673) Decision Support for Health Professionals (485) Infectious Diseases (non-STD/STI) (936) Tools, Programs and Algorithms (132) Theme Issue: Novel Coronavirus (COVID-19) Outbreak …

https://www.jmir.org/2022/1/e31549/tweetations

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Latent dirichlet allocation The Journal of Machine

(4 days ago) Abstract. We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian model, in which each item of a collection is modeled as a finite mixture over an underlying set of topics. Each topic is, in turn, modeled as an infinite

https://dl.acm.org/doi/10.5555/944919.944937

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The potential for artificial intelligence in healthcare

(3 days ago) A more complex form of machine learning is the neural network – a technology that has been available since the 1960s has been well established in healthcare research for several decades3 and has been used for categorisation applications like determining whether a patient will acquire a particular disease. It views problems in terms of inputs

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616181/

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(PDF) Concepts of Machine Learning International Journal

(2 days ago) REFERENCES large and complex ,so machine learning is help in analysis of that type of data. These data related to the [1]. Riyaj Shaikh (2010). What machine learning science problems so which used in mission goal. work done in software debugging? Robotics: Machine Learning is also used in Robotics [2]. Emir Lejlic (2012).

https://www.academia.edu/37131249/Concepts_of_Machine_Learning

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Crime Prediction and Analysis Using Machine Learning

(4 days ago) 1.2 The above problem made me to go for a research about how can solving a crime case made easier. Through many documentation and cases, it came out that machine learning and data science can make the work easier and faster. 1.3 The aim of this project is to make crime prediction using the features present in the dataset. The dataset is extracted

https://www.irjet.net/archives/V5/i9/IRJET-V5I9192.pdf

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Statistical Comparisons of Classifiers over Multiple Data Sets

(5 days ago) Journal of Machine Learning Research 7 (2006) 1–30 Submitted 8/04; Revised 4/05; Published 1/06 Statistical Comparisons of Classifiers over Multiple Data Sets Janez Demˇsar [email protected] Faculty of Computer and Information Science Trzaˇ ska 25ˇ Ljubljana, Slovenia Editor: Dale Schuurmans Abstract

https://jmlr.csail.mit.edu/papers/volume7/demsar06a/demsar06a.pdf

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Computational Intelligence and Machine Learning

(4 days ago) A Premier Computational Intelligence and Machine Learning. The Computational Intelligence and Machine Learning is an open access, double-blind peer-reviewed journal that is devoted to publishing pioneering and groundbreaking research findings, outcomes, and studies being carried out by talented and gifted researchers, academics, scientists, scholars and other …

https://www.cimachinelearning.com/

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Diagnostics Special Issue : Machine Learning Approaches

(9 days ago) The research focuses on novel machine learning and artificial intelligence approaches, to elucidate the pathogenesis of neurodegenerative disorders and provide early diagnosis, aiming to develop effective treatments, improve the quality of the patient’s life and increase life expectancy (Myszczynska M.A., et al. 2020).

https://www.mdpi.com/journal/diagnostics/special_issues/Machine_Learning_Neurodegenerative_Diseases

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FLAN: Google Research Develops Better Machine Learning

(4 days ago) The research paper cites a current popular technique called “zero-shot or few-shot prompting” that trains a machine to solve a specific language problem and describes the shortcoming in this

https://www.searchenginejournal.com/flan-google-research-finds-better-machine-learning/428732/

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The Interplay of Optimization and Machine Learning Research

(5 days ago) Journal of Machine Learning Research 7 (2006) 1265–1281 Submitted 7/06; Published 7/06 The Interplay of Optimization and Machine Learning Research Kristin P. Bennett [email protected] Department of Mathematical Sciences Rensselaer Polytechnic Institute Troy, NY 12018, USA Emilio Parrado-Hern´andez [email protected]

https://jmlr.csail.mit.edu/papers/volume7/MLOPT-intro06a/MLOPT-intro06a.pdf

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