A version space learning algorithm is presented with examples, which it will use to restrict its hypothesis space; for each example, the hypotheses that are inconsistent with are removed from the space.
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Spaced Learning was successfully used to deliver a science course normally taught over months in a single hour, and that allowed students to achieve well in high-stakes testing with no teaching at all.
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"' Spaced Learning "'is a learning method in which highly condensed learning content is repeated three times, with two 10-minute breaks during which distractor activities such as physical activities are performed by the students.
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A major drawback of version space learning is its inability to deal with noise : any pair of inconsistent examples can cause the version space to " collapse ", i . e ., become empty, so that classification becomes impossible.
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Additional research reported in " The Times Educational Supplement ", " The Guardian ", " The Times ", and " The Daily Telegraph " on 30 January 2009 reported that Spaced Learning successfully prepared students for a national examination in less than two hours with no traditional teaching at all.
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