machine learning paradigm

C39344 concept

A machine learning paradigm is a conceptual framework that defines how models learn from data, including the assumptions, learning objectives, and training procedures that guide the development and application of algorithms.

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Observed surface forms (7)

few-shot learning method ×3
AI paradigm ×1
computational paradigm ×1
connectionist approach ×1
lazy learning algorithm ×1
neural network training approach ×1
statistical learning principle ×1

Instances (10)

Bayesian learning for neural networks via concept surface "neural network training approach"
AutoML
parallel distributed processing via concept surface "connectionist approach"
KNN via concept surface "lazy learning algorithm"
minimum description length principle via concept surface "statistical learning principle"
Nouvelle AI via concept surface "AI paradigm"
connectionism via concept surface "computational paradigm"
matching networks via concept surface "few-shot learning method"
surface form: Matching Networks
Prototypical Networks via concept surface "few-shot learning method"
Relation Networks for few-shot learning via concept surface "few-shot learning method"