MST algorithm

Lecture Distributed Systems - Lecture 8a: Minimal Spanning Tree. In this chapter, students will be able to understand: A generic MST algorithm, Boruvka’s algorithm, Jarnık’s algorithm, Kruskal’s algorithm.

23p runordie1 10-05-2022 12 3   Download

Advanced Algorithms Analysis and Design - Lecture 32: Minimal spanning tree problem. In this lecture we will cover the following: importance of minimal spanning trees (MST); MST problem (generic solution, proofs of correctness); Kruskal’s algorithm; Prim’s algorithm;...

44p andromedashun 26-05-2022 7 2   Download

Lecture Design and Analysis of Algorithms - Lecture 35: Minimum Spanning Trees. The following will be discussed in this chapter: Free tree facts, generic approach, greedy MST proof, random access machine.

25p youzhangjing_1909 28-04-2022 14 2   Download

Kruskal’s algorithm worked by ordering the edges, and inserting them one by one into the spanning tree, taking care never to introduce a cycle. Intuitively Kruskal’s works by merging or splicing two trees together, until all the vertices are in the same tree. In contrast, Prim’s algorithm builds the MST by adding leaves one at a time to the current tree. In this lecture, you find clear explanations of Prim’s Algorithm.

24p youzhangjing_1909 28-04-2022 5 1   Download

In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow dependency structures with multiple parents per word. We show that those extensions can make the MST framework computationally intractable, but that the intractability can be circumvented with new approximate parsing algorithms. We conclude with experiments showing that discriminative online learning using those approximate algorithms achieves the best reported parsing accuracy for Czech and Danish. ...

8p bunthai_1 06-05-2013 66 3   Download

This paper introduces a Maximum Entropy dependency parser based on an efficient kbest Maximum Spanning Tree (MST) algorithm. Although recent work suggests that the edge-factored constraints of the MST algorithm significantly inhibit parsing accuracy, we show that generating the 50-best parses according to an edge-factored model has an oracle performance well above the 1-best performance of the best dependency parsers. This motivates our parsing approach, which is based on reranking the kbest parses generated by an edge-factored model. ...

8p hongvang_1 16-04-2013 50 2   Download