Ειδήσεις: SUPERVISED LEARNING | PXAI

Version	Description	Date
8.42	[ADDED SOURCE REGISTRY LIST VIEW]	04/03/2026 16:19
8.41	[LOCALIZED INDEX.PHP MENU AND MODALS TO US ENGLISH]	04/03/2026 16:11
8.40	[TRANSLATED FRONTEND TO US ENGLISH]	04/03/2026 16:10
8.41	[RESTORED DETAILED SOURCES VIEW (ARTICLES + EVENTS) IN US ENGLISH]	04/03/2026 15:50
8.41	[RESTORED DETAILED SOURCES VIEW (ARTICLES + EVENTS) IN US ENGLISH]	04/03/2026 15:46
8.40	[REVERTED TO STANDARD TABLE LAYOUT (US ENGLISH)]	04/03/2026 15:40
8.39	[FIXED DB CONNECTION SCOPE IN SOURCES LOGIC]	04/03/2026 15:38
8.38	[TRANSLATED SOURCES VIEW TO US ENGLISH]	04/03/2026 15:01
8.37	[FULL FRONTEND TRANSLATION (MENU, FEED, COMMENTS, TTS) TO US ENGLISH.]	04/03/2026 14:58
8.67	[MANUAL OVERRIDE OF GREEK MENU ITEMS]	04/03/2026 13:36
8.66	[NGINX OPTIMIZED MENU FIX]	04/03/2026 13:33
8.65	[FIXED GREEK MENU ITEMS]	04/03/2026 13:32
8.60	[MENU & UI LOCALIZATION TO US ENGLISH]	04/03/2026 13:30
8.50	[FULL TRANSLATION TO US ENGLISH]	04/03/2026 13:27
9.75	[INJECTED EVENT FUSION_SUMMARY INTO FEED LOOPS TO DISPLAY AI TAGS CORRECTLY]	26/02/2026 14:44

31/03 07:00 arxiv.org

Gaussian Joint Embeddings For Self-Supervised Representation Learning

self-supervised learning Gaussian joint embeddings probabilistic modeling multi-modal inverse problems representation collapse generative modeling

30/03 07:00 arxiv.org

A Compression Perspective on Simplicity Bias

simplicity bias minimum description length neural networks feature selection supervised learning compression

28/03 11:41 dev.to

Gaussian Mixture Models: The EM Algorithm in Practice

Gaussian Mixture Models EM algorithm clustering probabilistic assignment unsupervised learning data science

27/03 20:35 dev.to

Building a Linear Regression Model from Scratch with Gradient Descent in Python

linear regression gradient descent Python machine learning supervised learning coding tutorial

27/03 06:00 arxiv.org

Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks

mesh-free discrete differential operators graph neural networks self-supervised learning polynomial consistency meshless methods

26/03 12:11 dev.to

Self-Supervised Temporal Pattern Mining for satellite anomaly response operations for extreme data sparsity scenarios

self-supervised learning temporal pattern mining satellite anomaly detection data sparsity silent satellite telemetry analysis

20/03 06:00 arxiv.org

Retrieval-Augmented LLM Agents: Learning to Learn from Experience

Retrieval‑augmented LLMs fine‑tuning LoRA experience replay generalization supervised learning

18/03 17:13 takara.ai

Discovering Decoupled Functional Modules in Large Language Models

Large Language Models Module Discovery Unsupervised Learning Neural Disentanglement Iterative Decoupling Functional Organization

18/03 12:04 dev.to

Self-Supervised Temporal Pattern Mining for satellite anomaly response operations for low-power autonomous deployments

self‑supervised learning satellite telemetry anomaly detection CubeSat low‑power autonomous temporal pattern mining

18/03 12:04 dev.to

Self-Supervised Temporal Pattern Mining for satellite anomaly response operations for low-power autonomous deployments

self‑supervised learning satellite telemetry anomaly detection CubeSat low‑power autonomous temporal pattern mining

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