There are two approaches to solving a new supervised learning task: either
analyze the task independently or reduce it to a task that has already
been thoroughly analyzed. This paper investigates the latter approach for
classification problems. In addition to obvious theoretical motivations,
there is fairly strong empirical evidence that ...
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We investigate the complexity of enumerative approximation of
two elementary problems in linear algebra, computing the rank
and the determinant of a matrix. In particular, we show that
if there exists an enumerator that, given a matrix, outputs a
list of constantly many numbers, one of which is guaranteed to
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