We present a new data structure for Huffman coding in which in addition to sending symbols in order of their appearance in the Huffman tree one needs to send codes of all circular...
The linked-list data structure is fundamental and ubiquitous. Lockfree versions of the linked-list are well known. However, the existence of a practical wait-free linked-list has ...
Shahar Timnat, Anastasia Braginsky, Alex Kogan, Er...
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
This paper presents a novel top-down headdriven parsing algorithm for data-driven projective dependency analysis. This algorithm handles global structures, such as clause and coor...
The ability to perform permutations of large data sets in place reduces the amount of necessary available disk storage. The simplest way to perform a permutation often is to read ...