The classification of greedy algorithms

The Consistency of Greedy Algorithms for Classification

Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity

Many regression and classification algorithms proposed over the years can be described as greedy procedures for the stagewise minimization of an appropriate cost function. Some examples include additive models, matching pursuit, and boosting. In this work we focus on the classification problem, for which many recent algorithms have been proposed and applied successfully. For a specific regulari...

Greedy Algorithms

Greedy Algorithms: Huffman Coding

Greedy Algorithms: In an optimization problem, we are given an input and asked to compute a structure, subject to various constraints, in a manner that either minimizes cost or maximizes profit. Such problems arise in many applications of science and engineering. Given an optimization problem, we are often faced with the question of whether the problem can be solved efficiently (as opposed to a...

Parallelism and Greedy Algorithms

A number of greedy algorithms are examined <and are shown to be probably inherently sequential. Greedy algorithms are presented for finding a maximal path, for finding a . maximal set of disjoint paths in a layered dag, and for finding the largest induced subgraph of a graph that has all vertices of degree at least Ic. It is shown that for all of these algorithms, the problem of determining if ...