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Learning Reductions to Sparse Sets
[chapter]
2013
Lecture Notes in Computer Science
We study the consequences of NP having non-uniform polynomial size circuits of various types. We continue the work of Agrawal and Arvind [1] who study the consequences of Sat being many-one reducible to functions computable by non-uniform circuits consisting of a single weighted threshold gate. (Sat ≤ p m LT1). They claim that P = NP follows as a consequence, but unfortunately their proof was incorrect. We take up this question and use results from computational learning theory to show that if
doi:10.1007/978-3-642-40313-2_23
fatcat:ocm23fh4lzfyppn3w2qp5q4nyq