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Conditional Random Fields (CRF)

A type of probabilistic graphical model used in machine learning for structured prediction, often applied in natural language processing.

Implications

A statistical modeling method used for structured prediction in machine learning, often applied in natural language processing, image recognition, and bioinformatics.

Example

Example: A tech company uses Conditional Random Fields to improve its speech recognition system, allowing for more accurate prediction of word sequences based on context.

Related Terms

Different from simpler machine learning models like decision trees, CRFs are specifically designed for making predictions about sequences of data, considering the context of neighboring elements.

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COUNTRIES COVERED

Japan

South Korea

China

Taiwan

Vietnam

Thailand

Indonesia

Malaysia

Singapore

Australia

Philippines

Cambodia

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