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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "From Classical Regression" (30 stories)

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Introduction to using symbolic regression for interpretable machine learning in healthcare
Lead StoryNaturescience
3d ago

Introduction to using symbolic regression for interpretable machine learning in healthcare

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBhUnRJZVVHZFZGeV9ieHloZU5pMkRUd3NzUnZBSGFMME8zZ1drSTljTkR3QzlCTVloVzB5WEItNDFZdVVzWHlmZWJWenJUaFVQTzMwcjNLRlVFbmd6VkhF?oc=5" target="_blank">Introduction to using symbolic regression for interpretable machine learning in healthcare</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "From Classical Regression"

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Artificial Intelligence in Spectroscopy: A Summary of Spectroscopy Magazine's Coverage, 2024–2026
Spectroscopy Onlinegeneral

Artificial Intelligence in Spectroscopy: A Summary of Spectroscopy Magazine's Coverage, 2024–2026

<a href="https://news.google.com/rss/articles/CBMi0AFBVV95cUxQNGxiaDRJSjZERk5ZSVNQN2lSRVhMUFNWeTdpTUZUeFFkQ2NMcTVFV2ZpT0h6MHdjYkF3OW1lSkVYQ3E0ZWMwclhMeTBCQjZiOUNpT0wzNmpoV3FBZEtTRjhJV1ZaR2xBUHhNNG9qWDltS3JSQnQzOVFpb2tfdGhMOUxVQlZVRy1KRnA1TFdsTVZWOGh0WkVYRFZpcjVreUtrQnFLZGN3NnhSNlVRVW9fVDYxTVVNWG5pZlNmTlRqc1ZSV2xlSDhtUDlySTRXX3RG?oc=5" target="_blank">Artificial Intelligence in Spectroscopy: A Summary of Spectroscopy Magazine's Coverage, 2024–2026</a>  <font color="#6f6f6f">Spectroscopy Online</font>

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AI Builds a New Biological Aging Clock That Predicts Death in Heart-Kidney-Metabolic Disease
Bioengineer.orgtech

AI Builds a New Biological Aging Clock That Predicts Death in Heart-Kidney-Metabolic Disease

<a href="https://news.google.com/rss/articles/CBMiuAFBVV95cUxOakptaEc0Ni1iZkZtdU1uTF8tb1hyMWd4RzRoVjB5ektQamE4VW1zMFI5NFBydGhvMGRzaF9TdzFUWm1Ibmx4Z0xNeWt0bUgteGpHTWY4S0ktX1pQcFQ0ZFNBQVVlOFo2UlotUFlqTXdRUGt4VV9ISEJSNHRXUE83dm1hNUNsdGlFeFVTd2NGTjA2ZTl4WVF4UG9yOXNBS0V0d0hBMGxLOUU2TmkyNUhFZFFqczRHVEVE?oc=5" target="_blank">AI Builds a New Biological Aging Clock That Predicts Death in Heart-Kidney-Metabolic Disease</a>  <font color="#6f6f6f">Bioengineer.org</font>

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Statistical method broadens forecasts by modeling uncertainty beyond average outcomes
Phys.orgtech

Statistical method broadens forecasts by modeling uncertainty beyond average outcomes

<a href="https://news.google.com/rss/articles/CBMiigFBVV95cUxOeHdhanVrSnljblp6QmtwUE9sSkY2RkZpNVhyWXFNU1NoM3RkeEo3RWlkZldFWW0wNFBOU3pHNGxwNFQ0MVJwbWo2U24yUGRPRXZ5VVc0M3k3bGNTbmRoVWhnOXFHUlIxVlhMeUlZZUJmcF84VlRRN2lNQWZZdHBrLXBfb193NkNXYWc?oc=5" target="_blank">Statistical method broadens forecasts by modeling uncertainty beyond average outcomes</a>  <font color="#6f6f6f">Phys.org</font>

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The Evolution of Chemometrics: From Classical Statistics to the AI Era
Spectroscopy Onlinetech

The Evolution of Chemometrics: From Classical Statistics to the AI Era

<a href="https://news.google.com/rss/articles/CBMirgFBVV95cUxQR0hlYklKTTVwUEotYWtCazVZWXcxRGwteGVCNjM3R2p5VWZfNnRtNU9MSHVVYTNxUHgzMnFDdWVPZ3A0X2VrZE1MQUJXLThtZ0k0MzI0M0JTc0Y4QWlWRlBqUTRhRkhFanRtMkVHaHU5c0FCcWZJaE1XaGZGVTRBR2NiTW4tSXhSYXo5ZmRYRUlkSm1wOUw1U0lzTlFfZnFWcmFJZjllbXVTdEZjRWc?oc=5" target="_blank">The Evolution of Chemometrics: From Classical Statistics to the AI Era</a>  <font color="#6f6f6f">Spectroscopy Online</font>

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Focal‐Feature Regression Kriging - Luo - 2026 - Geographical Analysis
Wiley Online Librarygeneral

Focal‐Feature Regression Kriging - Luo - 2026 - Geographical Analysis

<a href="https://news.google.com/rss/articles/CBMia0FVX3lxTE5Lc19ZMjUwVHkxODNzbDNsRnlHR3ZqUEQ4aW1Qam1fNUc1dzFJSnc3dkhTdUJoVkhpekQyLVR5RDBXV0F3OXhWODhfU2M5N0tvZElWQk9FV3pHSExKNTF2M2FnXzY5V2JRcGNB?oc=5" target="_blank">Focal‐Feature Regression Kriging - Luo - 2026 - Geographical Analysis</a>  <font color="#6f6f6f">Wiley Online Library</font>

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From Classical Regression to AI and Beyond: The Chronicles of Calibration in Spectroscopy: Part I
Spectroscopy Onlinetech

From Classical Regression to AI and Beyond: The Chronicles of Calibration in Spectroscopy: Part I

<a href="https://news.google.com/rss/articles/CBMi0AFBVV95cUxPX0w2a0ZlSWFhRnRzcFRkaXExNEZjN1BNNVVqQ2QtMWhQWlZfOEFRUUo1VWdpdldzekFERDM2STRBVF9xekhNN2xsUXp6ekFSc2xPNnkxbXcxeUdYQ3RFUURocUVudjFfN1p3am1CM0d6QThIcG5JX0d1MFhNdWNaZjFsVGwxaWJwNVVfenVGdi1rcXRkTEMxNVVxaUFOT1RZVzRUeUVKbXZlQzlZRWRNbjdLVWZGSVhfRlplTFlhYjdjRG51b21HVVdhMEZFajlf?oc=5" target="_blank">From Classical Regression to AI and Beyond: The Chronicles of Calibration in Spectroscopy: Part I</a>  <font color="#6f6f6f">Spectroscopy Online</font>

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From local to global explainability: linking regression contributions with spatially adjusted SHAP
Bioengineer.orgtech

From local to global explainability: linking regression contributions with spatially adjusted SHAP

<a href="https://news.google.com/rss/articles/CBMivwFBVV95cUxQRW1raXF1ZWxxNVVDYU1nclhFQTZlTmRKQ0hqaWJ4SW5Ga1p0Qm5TRGVPeFltLTVwYVR1Y05HdnFBYldMdGE0RS0yUzM1LUE5OWY5Y2xCR3NwN01VbC11RE1Qbnd1dzlQRWlKV2VBeUo0ZlRFS2FzMWNaMmE2R0V0MG1EMjYzRnc5d2FVbC1JTGFFc2U2cmlQQ2RBY3gwS3dOSFRDNUI4RkxpeUQ5TlFrX3dwZjVFblZLS1dPemtaOA?oc=5" target="_blank">From local to global explainability: linking regression contributions with spatially adjusted SHAP</a>  <font color="#6f6f6f">Bioengineer.org</font>

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Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models
Naturegeneral

Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5BWmVwZDhFWl9DTTRyQldJT3JVNEt6aXZJLTBQOXNCZ1J6aUlRR2hjTEZaQ3I5VHJsejJBU3BacDJsWlhVR1NlYnZFcGtDcDNnOG9ad2gxeDlwTmkyeHZN?oc=5" target="_blank">Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models</a>  <font color="#6f6f6f">Nature</font>

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From Classical Regression to AI and Beyond: The Chronicles of Calibration in Spectroscopy: Part II
Spectroscopy Onlinetech

From Classical Regression to AI and Beyond: The Chronicles of Calibration in Spectroscopy: Part II

<a href="https://news.google.com/rss/articles/CBMi0gFBVV95cUxNQU9xbmdETW01T0JKOHVPZGVuM3p5WWVqdVhfYUdTZU9IdVVZd1E0cUJoLWZZOFI2T2xZX3Bzc1I2Nl9aZVBkOW03XzNYVzRYdWllemxHSEdhYXBLV2NHS29oaS1WbDl0cXRoTTRIZ3dEcXY3OTB0T0Q1eV9NdDJuVGxmVVQ3MURUNnFGQ05aeFpOUWp3Ync1RDdUcmxrNWhiVEgxRUJkRzF6Mm4tTndmdVY3RHBLYUVTOXlWeksyR0xJUVpGeV9MbFFHcmNTQ09sQUE?oc=5" target="_blank">From Classical Regression to AI and Beyond: The Chronicles of Calibration in Spectroscopy: Part II</a>  <font color="#6f6f6f">Spectroscopy Online</font>

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Robust evaluation of classical and quantum machine learning under noise, imbalance, feature reduction and explainability
Naturetech

Robust evaluation of classical and quantum machine learning under noise, imbalance, feature reduction and explainability

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1yMGRqWlhQbG9FSzFUamN0TDRfWjUzTjJFc0Z6WS1tbUE1aGN3dUZoY2lZRFpPakNMaUxhc0JDUl9uN3hyZkZtX1RQVVNkVEMxeHc2MzRpcmZ5SjZfUjNZ?oc=5" target="_blank">Robust evaluation of classical and quantum machine learning under noise, imbalance, feature reduction and explainability</a>  <font color="#6f6f6f">Nature</font>

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From Latent Variables to Large Language Models: A Unified Glossary Bridging Chemometrics, Machine Learning, and Artificial Intelligence
Spectroscopy Onlineworld

From Latent Variables to Large Language Models: A Unified Glossary Bridging Chemometrics, Machine Learning, and Artificial Intelligence

<a href="https://news.google.com/rss/articles/CBMiggJBVV95cUxNV2gwUXhTaE9lb3pZN3doLUczWS1NN1hSbU04clctYzU0ODVXam95TFFoQ2dnZ2JCM2xpeTh5a0hVNW5IZ0I2YlhiQzVmWXNoZllLbVZUUVdkUkJscVBBVGNQbW5VNnZ4Q3JtdHViczY1NVprOFhqUER0UURFYlNoSVpVS1F3aDVZZW1oNnJVdFFvaV9ENUI1U0tZXzZTbHRLWk1FdlRoMmVKY3BJZHByZmNKMW9pb3Q3NnA3VHZhWDlSZlNEQjRGTHc3dEZTZG1lSndlck52SDd5R19vZ3EtV2ZkR0NxdGFsWjZSX1N4UXhvYVRpR0xXbnBYZW03bkRUT0E?oc=5" target="_blank">From Latent Variables to Large Language Models: A Unified Glossary Bridging Chemometrics, Machine Learning, and Artificial Intelligence</a>  <font color="#6f6f6f">Spectroscopy Online</font>

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A robust methodology for finite population mean estimation based on Generalized M estimation
Naturegeneral

A robust methodology for finite population mean estimation based on Generalized M estimation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8zWllRaW1nVWp4OGExcFBRWjl5Rl9TaGJaX08xMkQxYXJNdGhGMzVWMk9lTHRnSmltckRady12cUtuOTgtejZ3UmNuNW9XTnloVmtWOFlVcmljTkl2aFlF?oc=5" target="_blank">A robust methodology for finite population mean estimation based on Generalized M estimation</a>  <font color="#6f6f6f">Nature</font>

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Recent Research in Chemometrics and AI for Spectroscopy, Part II: Emerging Applications, Explainable AI, and Future Trends
Spectroscopy Onlinetech

Recent Research in Chemometrics and AI for Spectroscopy, Part II: Emerging Applications, Explainable AI, and Future Trends

<a href="https://news.google.com/rss/articles/CBMi7wFBVV95cUxQR20xQ0pOTk9BUjAwcGFOS0tEOFpQS0RkaWVaVVRrRWF6Vk0xY1c5M21Ya1VaaTJ1eUczUkE4RUhtanRfQzgyRmtqNFdPZ3N3RmNNTUZwWE43U2VDaThPNmphM0VzQ0tDOVdNbDBjRDk0SHB4dWVuR18xa01GWS05NHUtSHRYSDV5Ullqbld3Qlk1SjZwQWlIcGxxMEZtMkJkYWViVDN3Z3YzbTA4OEpGdm5jNWRNU0FfUnZQaWJhcjNqdW9RRmV6UWx4NUtpWG5jamk0WkM1bVF5d2hCMldsMVpjQWhvRWZ4UUFEWUR0VQ?oc=5" target="_blank">Recent Research in Chemometrics and AI for Spectroscopy, Part II: Emerging Applications, Explainable AI, and Future Trends</a>  <font color="#6f6f6f">Spectroscopy Online</font>

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Large language models versus classical machine learning performance in COVID-19 mortality prediction using high-dimensional tabular data
Naturegeneral

Large language models versus classical machine learning performance in COVID-19 mortality prediction using high-dimensional tabular data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBqX1Q0dTZMQ1lXeFNzT25xVU5fd0RYYWpSM3oxaUNpd3QtaFlRaUkzSE1ibk1oWFBhbkhFZ0ZiQUpKT0ZYMGlldFRwVGdQeklOSWJBSU05ai1Hby0yNVZJ?oc=5" target="_blank">Large language models versus classical machine learning performance in COVID-19 mortality prediction using high-dimensional tabular data</a>  <font color="#6f6f6f">Nature</font>

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Interpretable ensemble learning for materials property prediction with classical interatomic potentials
Naturegeneral

Interpretable ensemble learning for materials property prediction with classical interatomic potentials

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5uMnJ1WE8zRzgyMFNTcVg5d3NDRTR0aHZETHJ6WXVhYnZqcEwtNGpFWVRtaHhwT0NUY1lmR1lVSk85ZElVakh6NDZNaVVNZVNvNjdIekVETkNvdjBWMnlF?oc=5" target="_blank">Interpretable ensemble learning for materials property prediction with classical interatomic potentials</a>  <font color="#6f6f6f">Nature</font>

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Recent Research in Chemometrics and AI for Spectroscopy, Part I: Foundations, Definitions, and the Integration of Artificial Intelligence in Chemometric Analysis
Spectroscopy Onlinetech

Recent Research in Chemometrics and AI for Spectroscopy, Part I: Foundations, Definitions, and the Integration of Artificial Intelligence in Chemometric Analysis

<a href="https://news.google.com/rss/articles/CBMiowJBVV95cUxQT0R2MXlEaEJjcnFVNDZiaE9RdkpzVWN5ZDYzcTZvNG1tSURVVUpBSlhmdWI0dDcxWTZIMmtOU0k1dTRCaFpGV09NLXhwRnlxQ1hMX1dtLWoxTXBkRmJ6ODU0czM0S1JYMlIyN2tBNE1WUVNhYnE2WTJXZzd3QW1LWnRYNFdrR3dZRUNoQlNrZlRvMWJhU295SFNsa2pvZ3czdWxGX3F5aURUNVpER3A5V1dzWGJaWmpqd3pSRlZkYkREa1I4dlQ5WTNSTUMtd2doU2RWWTFkZVM5QjJuQ1RVb29CM1lNUC1Pekc3STRHYUtRMmxWZnBCTHhEblJTNXJ0QjlmZU1HeVJHRXRMWVR0OWtGUFpLSEVrRUVia3UwTEJYT2c?oc=5" target="_blank">Recent Research in Chemometrics and AI for Spectroscopy, Part I: Foundations, Definitions, and the Integration of Artificial Intelligence in Chemometric Analysis</a>  <font color="#6f6f6f">Spectroscopy Online</font>

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Integrated approach of extreme learning machines and locally weighted linear regression for improved discharge coefficient prediction
Naturegeneral

Integrated approach of extreme learning machines and locally weighted linear regression for improved discharge coefficient prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBLSGVzN1UtSXBReHVJVXZWMHFwSjhPbU1xLThpOTlpV0d3LW1uS1J4WUEtUk5OVEtXbk5vLS1CWUd5Y1B6ZnJQOE0xWmswN1VKV1Fza293a3FhcFlCZlhz?oc=5" target="_blank">Integrated approach of extreme learning machines and locally weighted linear regression for improved discharge coefficient prediction</a>  <font color="#6f6f6f">Nature</font>

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The Most Important Vibrational Spectroscopy Trends of 2025
Spectroscopy Onlinegeneral

The Most Important Vibrational Spectroscopy Trends of 2025

<a href="https://news.google.com/rss/articles/CBMinwFBVV95cUxNbXMxNGYzLXB3eFJ1SEx5azVTZVFDQm1KRVVLeXZYUjlBSWExYzZVLUtpSk5ENnU2OVZVWHEtVUpyZ0lTQVdUd1lYYlF1c0VscDBKM010eDVab1ZKX1BBLUo3ZXhTOHl4enVLTndvcC0tMlRLUE5MNlp5azBheEFNeWphN0IyLUxNNXdfdzl4clRVMUNYUVFaWVdLdVVtNmM?oc=5" target="_blank">The Most Important Vibrational Spectroscopy Trends of 2025</a>  <font color="#6f6f6f">Spectroscopy Online</font>

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Error Bars in Chemometrics: What Do They Really Mean?
Spectroscopy Onlinegeneral

Error Bars in Chemometrics: What Do They Really Mean?

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxOX0hmdHUzMGFROEhwWGxTRlpLTXZnM0dMRzFTSU1RdktIeDBiRzZIcUNHQnYzQXVsUTllN2VjeVFQYi10VVVjOEJ2NFhYZElwRmxRRlZEeHdwOW0tSzhvV01BckFUZFpKUmVYVXhXaGlOTXZPWURnWm0tZnlBdTZkWVVveFFaalFOREhYMEZvTnNUcTJCVjBV?oc=5" target="_blank">Error Bars in Chemometrics: What Do They Really Mean?</a>  <font color="#6f6f6f">Spectroscopy Online</font>

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Bayesian joint and individual component regression for multigroup physiological data
Naturegeneral

Bayesian joint and individual component regression for multigroup physiological data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5ZZDVfdDU0OHhqaGp0N1Q2c0lVcjZlV2htbDRDYXoweUt2dTRqeWhUQjF1NHI0YkJFTVNOelR2VGNaOC13WWI5eVFfRzlTZWFILU1hY2dNanI4U0hiMWRB?oc=5" target="_blank">Bayesian joint and individual component regression for multigroup physiological data</a>  <font color="#6f6f6f">Nature</font>

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KRAS degradation induces rapid lung cancer regression in preclinical mouse models
Institute for Research in Biomedicine | IRB Barcelonaworld

KRAS degradation induces rapid lung cancer regression in preclinical mouse models

<a href="https://news.google.com/rss/articles/CBMixAFBVV95cUxOT3RKOVdmbU5QOEhfc3YtTjNLUGd3UmhfamZJLW0xN1FBRTlXZkF6MXBaejFXMEpiSW1aREkxQkZ6SmoyTDZ3cjVxZTZLSnNBdENveGdldjNXcWExdHQ1WVJyZ2c4R213T3F4OXZENm5HN3hoc19SYy1mN09PQ2NWZEhablZCLUl2Zmh0MWFKeGJXd0xvbXVFakRTeFU4NVRxelpmRVB6cmVvc20zWlU2UHVKLS01MXJMNG15RWp6cGtJNHBp?oc=5" target="_blank">KRAS degradation induces rapid lung cancer regression in preclinical mouse models</a>  <font color="#6f6f6f">Institute for Research in Biomedicine | IRB Barcelona</font>

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High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm
The Association for the Advancement of Artificial Intelligencegeneral

High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFBFNG9xalVCRFB0dWZCUXZIWUhaTHpJNUl5d1VzNjdsTGJTMXB6b1VrMDlkRnRReXJRYllWMl8wazZ4dm1kZzg3c3puOHNfTEZjNC1jVlRDSFRYYVZTWWpoaDZZYUs?oc=5" target="_blank">High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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A Fast and Interpretable Logistic Regression Framework for Breast Tumor Classification Using the Wisconsin Diagnostic Dataset
medRxivgeneral

A Fast and Interpretable Logistic Regression Framework for Breast Tumor Classification Using the Wisconsin Diagnostic Dataset

<a href="https://news.google.com/rss/articles/CBMifEFVX3lxTE5obW85ckxyemFVdE1BbEhsX3FHQURQcjZXeEMybHU1a0JDUkJQODRtSmdqelNsa3U0aEpacXJZc1dldTJ4NDV3ejF5VC1XSlJSN2VRcXY1clFaUWFmZzRVU2Nsa3dQUmZIaDFwcGxpV1pTLXJWY3JBdWFaYXQ?oc=5" target="_blank">A Fast and Interpretable Logistic Regression Framework for Breast Tumor Classification Using the Wisconsin Diagnostic Dataset</a>  <font color="#6f6f6f">medRxiv</font>

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The Goldilocks paradigm: comparing classical machine learning, large language models, and few-shot learning for drug discovery applications
Naturegeneral

The Goldilocks paradigm: comparing classical machine learning, large language models, and few-shot learning for drug discovery applications

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1JNTlHSUswbUMySUtKUHd2clJab0p1R01Zc0ltcW8wWm5ubVUzN01zdy04aHo2ajFfbFFweGNKRnFwUG9fMGZXUks2QzFVeWpBREs4ZG4weVFXNVlqVlNN?oc=5" target="_blank">The Goldilocks paradigm: comparing classical machine learning, large language models, and few-shot learning for drug discovery applications</a>  <font color="#6f6f6f">Nature</font>

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A generalisation of the method of regression calibration
Naturegeneral

A generalisation of the method of regression calibration

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1Tb3V6alZ2U2tONFRtdnpZZy1aNERuVTRTclZIRWlUaFZYZXdBSGNJd1IwWVU4bHBKWkFMZjd1Zlg2M3F6cnBkdm9EcUFaVVptM3lTOG82MHdQeXIzSU9N?oc=5" target="_blank">A generalisation of the method of regression calibration</a>  <font color="#6f6f6f">Nature</font>

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Use of robust regression methods to detect outliers and estimate parameters for Length-Weight relationships in fishes
Naturegeneral

Use of robust regression methods to detect outliers and estimate parameters for Length-Weight relationships in fishes

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBXNG5SVXNRMHh3WklkR0VBOGJ4T2xXaEx2aXMzMHc2WjMyOXZlMkk1Y2tudDlhNUplcWNfaEhMVHA3RG5LYTg2QTlldmhod0FjOXdNUlAyVGcxcXo3TDJZ?oc=5" target="_blank">Use of robust regression methods to detect outliers and estimate parameters for Length-Weight relationships in fishes</a>  <font color="#6f6f6f">Nature</font>

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Machine learning-enhanced modeling approach for optimally predicting household level food insecurity in Ethiopia during COVID-19
Naturegeneral

Machine learning-enhanced modeling approach for optimally predicting household level food insecurity in Ethiopia during COVID-19

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE52VWNqSVpsa2p6Skt0Q3V5S1RIUTVaUWE4SzlvRGtoUS1aSDFvTjF6OEN1WmFVaUYwNXNZYXc0MWlMcUVaTG03d3hXMzlFQnk0SVp5eWZPdnRFcWVtZmZr?oc=5" target="_blank">Machine learning-enhanced modeling approach for optimally predicting household level food insecurity in Ethiopia during COVID-19</a>  <font color="#6f6f6f">Nature</font>

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Adaptive demand forecasting framework with weighted ensemble of regression and machine learning models along life cycle variability
Naturegeneral

Adaptive demand forecasting framework with weighted ensemble of regression and machine learning models along life cycle variability

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1COEFZM3M5cTFtWFFqNkFhWkdSVFllMVZSZUhfekFraG5lMTVjckZSbXl0N1FKQ3ZZNm43ZWtQa3FTdTVHYWpPN2pTMndqYmJ1dm5vYVdYbndfUFg5dXJF?oc=5" target="_blank">Adaptive demand forecasting framework with weighted ensemble of regression and machine learning models along life cycle variability</a>  <font color="#6f6f6f">Nature</font>

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Regression and Bayesian Methods in Modern Preference Elicitation
Towards Data Sciencegeneral

Regression and Bayesian Methods in Modern Preference Elicitation

<a href="https://news.google.com/rss/articles/CBMirgFBVV95cUxPNkFiSFNnVHBGMklHR0VPekh4WEd0WjFTd0FWemkwWjRRTjREVUhESDRta2hDRWRwcnVQc1JvZUdoT1VpYkwyemdRYUNsTnVORVpueVFDRE5fcDlhbmdXOGVybDcwVlJxV3NsVFBhN3AwbjhTdXJXU08tMF8yWHhZcUVyVktvLXBKcnd3N1hJVGZpNGNzTVVGdTZ1SFdOaGlPZEpSSVJJUzZEdTljNVE?oc=5" target="_blank">Regression and Bayesian Methods in Modern Preference Elicitation</a>  <font color="#6f6f6f">Towards Data Science</font>

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