We extend the notion of general dimension, a combinatorial characterization of learning complexity for arbitrary query protocols, to encompass approximate ...
Abstract. We extend the notion of general dimension, a combinatorial characterization of learning complexity for arbitrary query protocols, to.
A General Dimension for Approximately Learning Boolean ...
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Oct 22, 2024 · We extend the notion of general dimension, a combinatorial characterization of learning complexity for arbitrary query protocols, ...
The notion of general dimension is extended and it is shown that with respect to the uniform distribution, and for any constant error parameter, ...
We extend the notion of general dimension, a combinatorial characterization of learning complexity for arbitrary query protocols, to encompass approximate ...
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We extend the notion of general dimension, a combinatorial characterization of learning complexity for arbitrary query protocols, to encompass approximate ...
Johannes Köbler, Wolfgang Lindner: A General Dimension for Approximately Learning Boolean Functions. ALT 2002: 139-148. manage site settings.
We introduce a combinatorial dimension that characterizes the number of queries needed to exactly (or approximately) learn concept classes in various models.
We introduce a new combinatorial dimension that gives a good approximation of the number of queries needed to learn in the exact learning model, ...
Abstract. We introduce a combinatorial dimension that characterizes the number of queries needed to exactly (or approximately) learn.