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• Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | Viewers | New papers by email | Author registration | Rankings | Volunteers | FAQ | Help! Combining Generalizers Using Partitions of the Learning Set.
• For any real-world generalization problem, there are always many generalizers which could be applied to the problem. This chapter discusses some algorithmic techniques for dealing with this multiplicity of possible generalizers. ... The first technique discussed is cross-validation, which is a winner-takes-all strategy (based on the behavior of the generalizers on the partitions of the learning set, it picks one single generalizer from amongst the set of candidate generalizers, and tells you to use that generalizer). ... As opposed to cross-validation's winner-takes-all strategy, stacked generalization uses the partitions of the learning set to combine the generalizers, in a non-linear manner, via another generalizer (hence the term ``stacked generalization''). ...

• Combining Generalizers Using Partitions of the Learning Set.
• Abstract: For any real-world generalization problem, there are always many generalizers which could be applied to the problem. This chapter discusses some algorithmic techniques for dealing with this multiplicity of possible generalizers. ... The first technique discussed is cross-validation, which is a winner-takes-all strategy (based on the behavior of the generalizers on the partitions of the learning set, it picks one single generalizer from amongst the set of candidate generalizers, and tells you to use that generalizer). ... As opposed to cross-validation's winner-takes-all strategy, stacked generalization uses the partitions of the learning set to combine the generalizers, in a non-linear manner, via another generalizer (hence the term ``stacked generalization''). ...

• The Digital Librarian's Digital Library searchDOCIS Documents in Computing and Information Science Home >> Journals and Conference Proceedings >> Neurocomputing  Data mining of time series using stacked generalizers James V. ...

• GENERALIZERS.
• Modern Translation: GENERALIZERS.
• Translations for "GENERALIZERS"; alternative meanings/domain in parentheses.

• Combining Generalizers Using Partitions Of The Learning Set (1992)  (Make Corrections)  (1 citation).
• Abstract: : For any real-world generalization problem, there are always many generalizers which could be applied to the problem. This paper discusses some algorithmic techniques for dealing with this multiplicity of possible generalizers. ... The first technique discussed is cross-validation, which is a winner-takes-all strategy (based on the behavior of the generalizers on the partitions of the learning set,. ...
• Wolpert, "Combining generalizers using partitions of the learning set," in Lectures in Complex Systems, L. ...
• Wolpert", title = "Combining generalizers using partitions of the learning set", text = "D. Wolpert, Combining generalizers using partitions of the learning set, in Lectures in Complex Systems, L. ...
• 1   How to deal with multiple possible generalizers (context) - Wolpert - 1992.

• The outputs of these networks, called the level zero generalizer outputs, along with the original input data, are then used as inputs to other generalizers, at a higher level in the stacking structure. These models are called the level one generalizers. The level one generalizers, use the outputs of the level zero generalizers as well as the original inputs to improve accuracy. ...

• Trailers" <generalizers@no-wucking-furries-mate. ...
• Old-return-path: <generalizers@no-wucking-furries-mate. ...

• Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | Viewers | New papers by email | Author registration | Rankings | Volunteers | FAQ | Help! Off-Training-Set Error for the Gibbs and the Bayes Optimal Generalizers.

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• There is a range of intermediate positions between extreme particularists and generalizers. ... More radical generalizers compare traits from hundreds of culture without much attention to context and have created a substantially compendium of cross-cultural data, the Human Relations Area Files, as a basis for their comparative research. ...

• The engine includes the ferrets, filters, advisors, mapmakers, generalizers, page database, and related packages. ...
• Generalizers: Figure out what pages the user likes. ...
• The generalizers (not yet implemented) and the advisors handle the first subtask, and the ferrets, filters, mapmakers, and page database handle the second subtask. ...
• Generalizers compute hittage for all the pages in the database using data on the user's behavior extracted from the user interface. ...

• The myths discussed here include the claim that connectionist systems are, in some sense, biological or neural, the calim that connectionist systems are compatible with real-time processing constraints, the claim that connectionist systems exhibit graceful degradation and the claim that connectionist systems are good generalizers. ...

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