Unsupervised Learning

التعلّم غير الخاضع للإشراف

نمط تعلّم لا يحتاج تسميات أو إجابات صحيحة مسبقة. النموذج يكتشف البنية والأنماط في البيانات بنفسه.

A learning paradigm that requires no labels or pre-defined correct answers. The model discovers structure and patterns in the data on its own.

Also translated asالتعلم الذاتي غير الموجه، التعلم الذاتي لاستكشاف الأنماط، التعلم بلا إشراف، التعلم غير الـمُوجّه، الحوسبة الحرة لاستخراج البنى الكامنة، تعلّم غير خاضع للإشراف، غير المُوجَّه

First appears in this corpus in: On Lines and Planes of Closest Fit to Systems of Points in Space (1901)

Appears in these papers

Unsupervised Visual Representation Learning by Context Prediction2015 in the sky ✦
Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning2022 in the sky ✦
A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise1996 in the sky ✦
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks2015 in the sky ✦
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks2015 in the sky ✦
Reducing the Dimensionality of Data with Neural Networks2006 in the sky ✦
A Fast Learning Algorithm for Deep Belief Nets2006 in the sky ✦
Deep Learning2015 in the sky ✦
Deep Learning2015 in the sky ✦
Inductive Representation Learning on Large Graphs2017 in the sky ✦
The Organization of Behavior: A Neuropsychological Theory1949 in the sky ✦
The Organization of Behavior: A Neuropsychological Theory1949 in the sky ✦
HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels2022 in the sky ✦
HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels2022 in the sky ✦
An Information-Maximization Approach to Blind Separation and Blind Deconvolution1995 in the sky ✦
Isolation Forest2008 in the sky ✦
Neocognitron: A Self-Organizing Neural Network Model for Pattern Recognition1980 in the sky ✦
On Lines and Planes of Closest Fit to Systems of Points in Space1901 in the sky ✦
Representation Learning: A Review and New Perspectives2013 in the sky ✦
Representation Learning: A Review and New Perspectives2013 in the sky ✦
Unsupervised Representation Learning by Predicting Image Rotations2018 in the sky ✦
Emergence of Simple-Cell Receptive Field Properties by Learning a Sparse Code for Natural Images1996 in the sky ✦
World Models2018 in the sky ✦