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- Structured_prediction abstract "Structured prediction or structured (output) learning is an umbrella term for supervised machine learning techniques that involve predicting structured objects, rather than single labels or real values.For example, the problem of translating a natural language sentence into a syntactic representation such as a parse tree can be seen as a structured prediction problem in which the structured output domain is the set of all possible parse trees.Probabilistic graphical models form a large class of structured prediction models. In particular, Bayesian networks and random fields are popularly used to solve structured prediction problems in a wide variety of application domains including bioinformatics, natural language processing, speech recognition, and computer vision. Other algorithms and models for structured prediction include inductive logic programming, structured SVMs, Markov logic networks and constrained conditional models.Similar to commonly used supervised learning techniques, structured prediction models are typically trained by means of observed data in which the true prediction value is used to adjust model parameters. Due to the complexity of the model and the interrelations of predicted variables the process of prediction using a trained model and of training itself is often computationally infeasible and approximate inference and learning methods are used.".
- Structured_prediction wikiPageExternalLink LSP.
- Structured_prediction wikiPageExternalLink CollinsTagger.
- Structured_prediction wikiPageID "27260435".
- Structured_prediction wikiPageRevisionID "584491207".
- Structured_prediction hasPhotoCollection Structured_prediction.
- Structured_prediction subject Category:Structured_prediction.
- Structured_prediction comment "Structured prediction or structured (output) learning is an umbrella term for supervised machine learning techniques that involve predicting structured objects, rather than single labels or real values.For example, the problem of translating a natural language sentence into a syntactic representation such as a parse tree can be seen as a structured prediction problem in which the structured output domain is the set of all possible parse trees.Probabilistic graphical models form a large class of structured prediction models. ".
- Structured_prediction label "Structured prediction".
- Structured_prediction sameAs m.0bwkyms.
- Structured_prediction sameAs Q7625208.
- Structured_prediction sameAs Q7625208.
- Structured_prediction wasDerivedFrom Structured_prediction?oldid=584491207.
- Structured_prediction isPrimaryTopicOf Structured_prediction.