P.C. Yue, C.K. Wong
Journal of the ACM
We give a new characterization of NP: the class NP contains exactly those languages L for which membership proofs (a proof that an input x is in L) can be verified probabilistically in polynomial time using logarithmic number of random bits and by reading sublogarithmic number of bits from the proof. We discuss implications of this characterization; specifically, we show that approximating Clique and Independent Set, even in a very weak sense, is NP-hard.
P.C. Yue, C.K. Wong
Journal of the ACM
Guo-Jun Qi, Charu Aggarwal, et al.
IEEE TPAMI
Shai Fine, Yishay Mansour
Machine Learning
George Saon
SLT 2014