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- Margin_Infused_Relaxed_Algorithm abstract "Margin Infused Relaxed Algorithm (MIRA) is a machine learning algorithm, an online algorithm for multiclass classification problems. It is designed to learn a set of parameters (vector or matrix) by processing all the given training examples one-by-one and updating the parameters according to each training example, so that the current training example is classified correctly with a margin against incorrect classifications at least as large as their loss. The change of the parameters is kept as small as possible.A two-class version called binary MIRA simplifies the algorithm by not requiring the solution of a quadratic programming problem (see below). When used in an one-vs.-all configuration, binary MIRA can be extended to a multiclass learner that approximates full MIRA, but may be faster to train.The flow of the algorithm looks as follows:The update step is then formalized as a quadratic programming problem: Find , so that , i.e. the score of the current correct training must be greater than the score of any other possible by at least the loss (number of errors) of that in comparison to .".
- Margin_Infused_Relaxed_Algorithm wikiPageExternalLink miralium.
- Margin_Infused_Relaxed_Algorithm wikiPageExternalLink Online+Passive+Aggressive.
- Margin_Infused_Relaxed_Algorithm wikiPageExternalLink adMIRAble.
- Margin_Infused_Relaxed_Algorithm wikiPageID "24933015".
- Margin_Infused_Relaxed_Algorithm wikiPageRevisionID "564741286".
- Margin_Infused_Relaxed_Algorithm hasPhotoCollection Margin_Infused_Relaxed_Algorithm.
- Margin_Infused_Relaxed_Algorithm subject Category:Classification_algorithms.
- Margin_Infused_Relaxed_Algorithm comment "Margin Infused Relaxed Algorithm (MIRA) is a machine learning algorithm, an online algorithm for multiclass classification problems. It is designed to learn a set of parameters (vector or matrix) by processing all the given training examples one-by-one and updating the parameters according to each training example, so that the current training example is classified correctly with a margin against incorrect classifications at least as large as their loss.".
- Margin_Infused_Relaxed_Algorithm label "Margin Infused Relaxed Algorithm".
- Margin_Infused_Relaxed_Algorithm sameAs m.09gh1qm.
- Margin_Infused_Relaxed_Algorithm sameAs Q6760391.
- Margin_Infused_Relaxed_Algorithm sameAs Q6760391.
- Margin_Infused_Relaxed_Algorithm wasDerivedFrom Margin_Infused_Relaxed_Algorithm?oldid=564741286.
- Margin_Infused_Relaxed_Algorithm isPrimaryTopicOf Margin_Infused_Relaxed_Algorithm.