منابع مشابه
Active Learning with Near Misses
Assume that we are trying to build a visual recognizer for a particular class of objects—chairs, for example—using existing induction methods. Assume the assistance of a human teacher who can label an image of an object as a positive or a negative example. As positive examples, we can obviously use images of real chairs. It is not clear, however, what types of objects we should use as negative ...
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The effectiveness of the memory hierarchy is critical for the performance of current processors. The performance of the memory hierarchy can be improved by means of program transformations such as padding, which is a code transformation targeted to reduce conflict misses. This paper presents a novel approach to perform near-optimal padding for multi-level caches. It analyzes programs, detecting...
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Disasters garner attention when they occur, and organizations commonly extract valuable lessons from visible failures, adopting new behaviors in response. For example, the United States saw numerous security policy changes following the September 11 terrorist attacks and emergency management and shelter policy changes following Hurricane Katrina. But what about those events that occur that fall...
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Concept learning is a central problem for cognitive systems. Generalization techniques can help organize examples by their commonalities, but comparisons with non-examples, near-misses, can provide discrimination. Early work on near-misses required hand-selected examples by a teacher who understood the learner’s internal representations. This paper introduces Analogical Learning by Integrating ...
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This paper addresses the problem of semantic relation identification for a set of relations difficult to differentiate: near-misses and overlaps. Based on empirical observations on a fairly large dataset of such examples we provide an analysis and a taxonomy of such cases. Using this taxonomy we create various contingency sets of relations. These semantic categories are automatically identified...
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ژورنال
عنوان ژورنال: Semigroup Forum
سال: 2018
ISSN: 0037-1912,1432-2137
DOI: 10.1007/s00233-018-9926-5