Understanding Polynomial Time problems part2(Machine Learning)
Expansion Lemma — Variations and Applications to Polynomial-Time Preprocessing(arXiv) Author : Ashwin Jacob, Diptapriyo Majumdar, Venkatesh Raman Abstract : n parameterized complexity, it is well-known that a parameterized problem is fixed-parameter tractable if and only if it has a kernel — an instance equivalent to the input instance, whose size…
Understanding Polynomial Time problems part2(Machine Learning) Expansion Lemma — Variations and Applications to Polynomial-Time Preprocessing(arXiv) Author : Ashwin Jacob, Diptapriyo Majumdar, Venkatesh Raman Abstract : n parameterized complexity, it is well-known that a parameterized problem is fixed-parameter tractable if and only if it has a kernel — an instance equivalent to the input instance, whose size… machine-learning
Understanding Polynomial Time problem part2Machine Learning Expansion Lemma — Variations Applications PolynomialTime PreprocessingarXiv Author Ashwin Jacob Diptapriyo Majumdar Venkatesh Raman Abstract n parameterized complexity wellknown parameterized problem fixedparameter tractable kernel — instance equivalent input instance whose size… machinelearning