decision tree

Cliques enumeration and tree-like resolution proofs

We show the close connection between the enumeration of cliques in a k-clique free graph G and the length of tree-like resolution refutations for formula Clique(G,k), which claims that G has a k-clique. The length of any such tree-like refutation is within a "fixed parameter tractable" factor from the number of cliques in the graph. We then proceed to drastically simplify the proofs of the lower bounds for the length of tree-like resolution refutations of Clique(G,k) shown in [Beyersdorff et at. 2013, Lauria et al. 2017], which now reduce to a simple estimate of the number of cliques.

Decision tree algorithm in locally advanced rectal cancer: an example of over-interpretation and misuse of a machine learning approach

Purpose: To analyse the classification performances of a decision tree method applied to predictor variables in survival outcome in patients with locally advanced rectal cancer (LARC). The aim was to offer a critical analysis to better apply tree-based approach in clinical practice and improve its interpretation. Materials and methods: Data concerning patients with histological proven LARC between 2007 and 2014 were reviewed. All patients were treated with trimodality approach with a curative intent. The Kaplan–Meier method was used to estimate overall survival (OS).

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma