Compressing human text.
I will present a new data compression algorithm that compresses human text more effectively than all current variants of PPM, CTW, DMC, LZ (Lempel-Ziv), LZMA, CSE and BWT. It uses a hierarchical non-parametric sequence model…
I will present a new data compression algorithm that compresses human text more effectively than all current variants of PPM, CTW, DMC, LZ (Lempel-Ziv), LZMA, CSE and BWT. It uses a hierarchical non-parametric sequence model…
We give a constant-factor approximation algorithm for the asymmetric traveling salesman problem. Our approximation guarantee is analyzed with respect to the standard LP relaxation, and thus our result confirms the conjectured constant integrality gap of…
Coinduction is a powerful technique for reasoning about unfounded sets, unbounded structures, infinite automata, and interactive computations. Where induction corresponds to least fixed points semantics, co-induction corresponds to greatest fixed point semantics. In this talk…
Is matching in NC, i.e., is there a deterministic fast parallel algorithm for it? This has been an outstanding open question in TCS for over three decades, ever since the discovery of Random NC matching…
Our results are: ** Introduce the problem of finding stable matchings that are robust to errors in the input. ** An efficient algorithm for the following class of errors: Permute arbitrarily the preference list of…
What is the common denominator between the following situations: a doctor choosing among different drugs for a sequence of patients; a website selecting ads for its visitors based on the information it has about them;…