Matches in DBpedia 2014 for { <http://dbpedia.org/resource/Constrained_conditional_model> ?p ?o. }
Showing items 1 to 15 of
15
with 100 items per page.
- Constrained_conditional_model abstract "A constrained conditional model (CCM) is a machine learning and inference framework that augments the learning of conditional (probabilistic or discriminative) models with declarative constraints. The constraint can be used as a way to incorporate expressive prior knowledge into the model and bias the assignments made by the learned model to satisfy these constraints. The framework can be used to support decisions in an expressive output space while maintaining modularity and tractability of training and inference.Models of this kind have recently attracted much attention[citation needed] within the natural language processing (NLP) community.Formulating problems as constrained optimization problems over the output of learned models has several advantages. It allows one to focus on the modeling of problems by providing the opportunity to incorporate domain-specific knowledge as global constraints using a first order language. Using this declarative framework frees the developer from low level feature engineering while capturing the problem's domain-specific properties and guarantying exact inference. From a machine learning perspective it allows decoupling the stage of model generation (learning) from that of the constrained inference stage, thus helping to simplify the learning stage while improving the quality of the solutions. For example, in the case of generating compressed sentences, rather than simply relaying on a language model to keep in the sentence the most commonly used n-grams, constraints can be used to make sure that if a modifier is kept in the compressed sentence, its subject will also be kept.".
- Constrained_conditional_model wikiPageExternalLink wpt.php?pr_key=CCM.
- Constrained_conditional_model wikiPageExternalLink CCM-NAACL-12-Tutorial.pdf.
- Constrained_conditional_model wikiPageExternalLink ilpnlp.
- Constrained_conditional_model wikiPageID "28255458".
- Constrained_conditional_model wikiPageRevisionID "602885893".
- Constrained_conditional_model hasPhotoCollection Constrained_conditional_model.
- Constrained_conditional_model subject Category:Structured_prediction.
- Constrained_conditional_model comment "A constrained conditional model (CCM) is a machine learning and inference framework that augments the learning of conditional (probabilistic or discriminative) models with declarative constraints. The constraint can be used as a way to incorporate expressive prior knowledge into the model and bias the assignments made by the learned model to satisfy these constraints.".
- Constrained_conditional_model label "Constrained conditional model".
- Constrained_conditional_model sameAs m.0cnx3xn.
- Constrained_conditional_model sameAs Q5164360.
- Constrained_conditional_model sameAs Q5164360.
- Constrained_conditional_model wasDerivedFrom Constrained_conditional_model?oldid=602885893.
- Constrained_conditional_model isPrimaryTopicOf Constrained_conditional_model.