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Ranking to Learn and Learning to Rank: On the Role of Ranking in Pattern
  Recognition Applications

Ranking to Learn and Learning to Rank: On the Role of Ranking in Pattern Recognition Applications

1 June 2017
Giorgio Roffo
ArXiv (abs)PDFHTML

Papers citing "Ranking to Learn and Learning to Rank: On the Role of Ranking in Pattern Recognition Applications"

4 / 4 papers shown
Title
Approximating Permutations with Neural Network Components for Travelling
  Photographer Problem
Approximating Permutations with Neural Network Components for Travelling Photographer Problem
S. Chong
48
0
0
30 Apr 2022
Infinite Feature Selection: A Graph-based Feature Filtering Approach
Infinite Feature Selection: A Graph-based Feature Filtering Approach
Giorgio Roffo
Simone Melzi
U. Castellani
Alessandro Vinciarelli
Marco Cristani
63
111
0
15 Jun 2020
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic
  Features using Machine Learning Techniques
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques
M. H. Chowdhury
Md Nazmul Islam Shuzan
M. Chowdhury
Z. Mahbub
Mohammad Monir Uddin
Amith Khandakar
M. Reaz
53
184
0
07 May 2020
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized
  Eigenvalue Problem
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem
Yunfeng Cai
P. Li
8
5
0
24 Mar 2020
1