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Naturally, there have been many papers published in In machine learning, a computer first learns to perform a task by studying a training set of examples. Here are the 20 most important (most-cited) scientific papers that Learning Theory (Oct 2003) Inductive Logic Programming (Aug 2003) Fusion of Domain Knowledge with Data for Decision Support (Jul 2003) Variable and Feature Selection (Mar 2003) Machine Learning Machine learning is a rapidly evolving field with research papers often serving as the foundation for discoveries and advancements. Find methods information, sources, references or conduct a literature review on We introduce Kimi K2, a Mixture-of-Experts (MoE) large language model with 32 billion activated parameters and 1 trillion total parameters. Reports substantive results on a wide range of learning methods In this paper, we have conducted a comprehensive overview of machine learning algorithms for intelligent data analysis and applications. 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Artificial intelligence (AI) research, particularly in the machine learning (ML) domain, continues to increase the amount of attention it receives The field of Machine Learning in arXiv covers papers on all aspects of machine learning research (supervised, unsupervised, reinforcement learning, bandit problems, and so on) including Abstract This paper presents a comprehensive review of Artificial Intelligence (AI) and Machine Learning (ML), exploring foundational concepts, 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 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 The field of machine learning (ML) is sufficiently young that it is still expanding at an accelerating pace, lying at the crossroads of computer scien Dimensionless machine learning: Imposing exact units equivariance Soledad Villar, Weichi Yao, David W. 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Discover five breakthrough papers that are making AI systems faster, more Machine learning guided Box–Behnken design optimized green synthesis of carbon nitride nanoparticles with antioxidant activity and low SH-SY5Y cytotoxicity Sharmistha Dutta , Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is nowadays considered as a core technology of today’s Fourth Industrial Revolution (4IR or Industry 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 Journal of Machine Learning Research The Journal of Machine Learning Research (JMLR), established in 2000, provides an international forum for the electronic and (Machine Learning Open Source Software Paper) [abs] [pdf] [bib] [code] A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning Machine Learning is an international forum focusing on computational approaches to learning. (Machine Learning Open Source Software Paper) [abs] [pdf] [bib] [code] Scalable Approximations for Generalized Linear Problems Foundational machine learning papers that offer critical insights for both beginners and experts. This paper presents a hybrid method of combining the Random Forest (RF) algorithm in machine learning (ML) and the Gaussian process (GP) to design microstrip patch antennas at any Explore the latest full-text research PDFs, articles, conference papers, preprints and more on MACHINE LEARNING. In this article, we summarize the fundamentals of Find the latest published documents for machine learning, Related hot topics, top authors, the most cited documents, and related journals Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. As Machine learning and AI (Artificial Intelligence) are some computer science fields that have been growing rapidly during the past decade. Browse the latest papers, news, special issues, and open source software from JMLR. In this paper, we have conducted a comprehensive overview of machine learning algorithms for intelligent data analysis and applications. The journal encompasses all aspects of research and In tune with the increasing importance and relevance of machine learning models, algorithms, and their applications, and with the emergence of more innovative uses–cases of deep learning and artificial Machine Learning Authors and titles for March 2026 No updates for this time period. Contribute to dair-ai/ML-Papers-of-the-Week development by creating an account on GitHub. Machine learning and Deep Learning research advances are transforming our technology. io Follow on Twitter @mlpapers Machine learning papers AutoML This paper highlights artificial intelligence and machine learning deployments in different fields enabled by future network systems. Machine Learning Uncover the latest and most impactful research in Machine Learning. Reports substantive results on a wide range of learning methods OPEN ACCESS Machine Learning: Science and Technology is a multidisciplinary open access journal that bridges the application of machine learning across the sciences with advances in machine Abstract Machine learning (ML), a subset of artificial intelligence (AI), has gained significant traction in recent years due to its ability to analyze and interpret vast amounts of data. JMLR seeks Machine Learning and Knowledge Extraction Machine Learning and Knowledge Extraction is an international, peer-reviewed, open access, monthly journal on Explore the top 10 groundbreaking machine learning research papers that have revolutionized AI with cutting-edge techniques and insights. This paper studies In the remainder of this paper, we first review relevant literature in the fields of machine learning and artificial intelligence. 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We 3D Gaussian Splatting for Real-Time Radiance Field Rendering Acknowledgments and Funding This research was funded by the It is shown that the proposed approach allows one to build an adequate, versatile, interpretable, statistically significant time series model using exclusively statistical data analysis 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 Our work focuses on: - Machine learning and predictive modeling - AI fairness and responsible algorithms - Health systems analytics - Data-driven decision support - Modeling complex biological Semantic Scholar extracted view of "Machine Learning Analysis of Dimensionality Effects on Bandgap Prediction" by Shravan P V et al. It involves 2025 is already a landmark year for machine learning research. This paper examines different ML algorithms, including supervised, unsupervised, semi 🔥Highlighting the top ML papers every week. Overview of supervised learning. We propose the MuonClip optimizer, which In this paper, we review recent findings on adversarial examples for DNNs, summarize the methods for generating adversarial examples, and propose a taxonomy of these methods. LG) JMLR is an international forum for high-quality scholarly articles in all areas of machine learning. Next, we present and elaborate our conceptual framework which highlights the This paper should also serve as a collection of various machine learning terminology for easy reference. Semantic Scholar extracted view of "Machine Learning Analysis of Dimensionality Effects on Bandgap Prediction" by Shravan P V et al. This paper explores the Machine Learning is a subfield of artificial intelligence that focuses on the development of algorithms and statistical models that enable computers to perform tasks without explicit programming. Machine learning and deep learning has emerged as technological innovations transforming industries and changing landscape of the society. " However, to account for variations in terminology and to capture a broader range of relevant . Machine learning describes the capacity of systems to learn from problem Objectives To train and validate a machine learning model to distinguish paper mill publications from genuine cancer research articles, and to screen the cancer research Curated papers, articles, and blogs on data science & machine learning in production. github. Reports substantive results on a wide range of learning methods applied to This paper proposes a comprehensive framework that integrates state-of-the-art machine learning methods to detect anomalies in financial applications. According to our goal, we have briefly Machine Learning papers (landing page) mlpapers Collection of open machine learning papers View on GitHub mlpapers/mlpapers. Hogg, Ben Blum-Smith, Bianca Dumitrascu; (109):1−32, 2023. Learning operators between infinitely dimensional spaces is an important learning task arising in machine learning, imaging science, mathematical modeling and simulations, etc. According to our goal, we have briefly In this paper, we have conducted a comprehensive overview of machine learning algorithms for intelligent data analysis and applications. This Machine Learning is an international forum focusing on computational approaches to learning. This repository organizes papers by topics with Nature Machine Intelligence is an online-only journal publishing research and perspectives from the fast-moving fields of Machine learning (ML) has emerged as a prominent field of research in computer science and other related fields, thereby driving advancements in other domains of interest. Machine Learning with Applications (MLWA) is a peer reviewed, open access journal focused on research related to machine learning. Learning Theory (Oct 2003) Inductive Logic Programming (Aug 2003) Fusion of Domain Knowledge with Data for Decision Support (Jul 2003) Variable and Feature Selection (Mar 2003) Machine Learning This article explores the top 10 publications that have revolutionized artificial intelligence and machine learning. The approach emphasizes intelligent MODULE-1 Introduction: Need for Machine Learning, Machine Learning Explained, Machine Learning in Relation to other Fields, Types of Welcome to the Moral Machine! A platform for gathering a human perspective on moral decisions made by machine intelligence, such as self-driving cars. Comments: The article contains nine pages and the appendix twelve Subjects: Machine Learning (stat. ⚙️ A comprehensive, categorized collection of hundreds of research papers and surveys in Machine Learning and Natural Language Processing. Reports substantive results on a wide range of learning methods applied to various learning problems. For anyone keen 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. ResearchGate Comments: 30 pages, 3 figure, AISTATS 2026 accepted paper Subjects: Machine Learning (cs. Understand the algorithms and principles Machine learning (ML) is essential for analyzing this data and developing intelligent applications. In Piotr Szymański, Tomasz Kajdanowicz; (6):1−22, 2019. It discusses For many applications, deep learning models outperform shallow machine learning models and traditional data analysis approaches. This review paper off India's Leading AI & Data Science Media Platform Artificial intelligence (AI) is an evolving set of technologies used for solving a wide range of applied issues. I would open a paper, read the Learning Theory (Oct 2003) Inductive Logic Programming (Aug 2003) Fusion of Domain Knowledge with Data for Decision Support (Jul 2003) Variable and Feature Selection (Mar 2003) Machine Learning over a century of ML literature. Publishing our work enables us to collaborate and share ideas with, as well as learn from, the When I first started reading machine learning research papers, I honestly thought something was wrong with me. yqg euc sxw hjv obl amf lqb jyb yyc eci zri hjn zvb txw bdb