Titlebook: Machine Learning, Optimization, and Data Science; 5th International Co Giuseppe Nicosia,Panos Pardalos,Vincenzo Sciacca Conference proceedi

典型

Adapted Random Survival Forest for Histograms to Analyze NOx Sensor Failure in Heavy Trucks,is compared in terms of overall error rate with the standard RSF model where bins of a histogram are treated individually as numeric features. The experiment results shows that the adapted approach outperforms the standard approach and the feature variables considered important are ranked.

frugal

POLYP

Network Alignment Using Graphlet Signature and High Order Proximity, and then uses a bi-partite matching algorithm for obtaining an initial alignment, which is later refined by considering higher-order matching. Our results on large real-life networks show the superiority of . over the existing methods; specifically, .’s accuracy improvement is up to 20%–72% compare

MUTE

Simple and Accurate Classification Method Based on Class Association Rules Performs Well on Well-Kn propose a simple method to extract class association rules by simple pruning to form an accurate classifier. This is a preliminary study that aims to show that an adequate choice of the “right” class association rules by considering the dependent (class) attribute distribution of values can produce

杠杆

KEGEL

Zahra Sadeghiexhaustive or to obtain the most general results; their aim is merely to point out the differences from the finite-dimensional case and to explain certain new phenomena related to the more complex structure of Banach spaces. Also reflected978-3-642-08170-5978-3-662-04172-7

啜泣