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Maximum Relevance and Minimum Redundancy Feature Selection Methods for a
  Marketing Machine Learning Platform

Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform

15 August 2019
Zhenyu Zhao
Radhika Anand
Mallory Wang
ArXiv (abs)PDFHTML

Papers citing "Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform"

13 / 13 papers shown
Title
Supervised Learning based Method for Condition Monitoring of Overhead
  Line Insulators using Leakage Current Measurement
Supervised Learning based Method for Condition Monitoring of Overhead Line Insulators using Leakage Current Measurement
Milena Mitrović
Dmitry Titov
K. Volkhov
Irina Lukicheva
Andrey Kudryavzev
Petr Vorobev
Qi Li
Vladimir Terzija
45
0
0
26 Jul 2024
Wrist movement classification for adaptive mobile phone based
  rehabilitation of children with motor skill impairments
Wrist movement classification for adaptive mobile phone based rehabilitation of children with motor skill impairments
K. Schoorl
Tamara Pinos Cisneros
A. A. Salah
Ben Schouten
21
0
0
30 Jan 2024
OutRank: Speeding up AutoML-based Model Search for Large Sparse Data
  sets with Cardinality-aware Feature Ranking
OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking
Blaž Škrlj
B. Mramor
23
0
0
04 Sep 2023
ECG Feature Importance Rankings: Cardiologists vs. Algorithms
ECG Feature Importance Rankings: Cardiologists vs. Algorithms
Temesgen Mehari
A. Sundar
A. Bošnjaković
P. Harris
Steven E. Williams
A. Loewe
O. Doessel
C. Nagel
Nils Strodthoff
Philip Aston
23
6
0
05 Apr 2023
Cost-effective Models for Detecting Depression from Speech
Cost-effective Models for Detecting Depression from Speech
Mashrura Tasnim
Jekaterina Novikova
54
5
0
18 Feb 2023
An Advantage Using Feature Selection with a Quantum Annealer
An Advantage Using Feature Selection with a Quantum Annealer
Andrew Vlasic
Hunter Grant
Salvatore Certo
49
5
0
17 Nov 2022
Power System Anomaly Detection and Classification Utilizing WLS-EKF
  State Estimation and Machine Learning
Power System Anomaly Detection and Classification Utilizing WLS-EKF State Estimation and Machine Learning
S. Asefi
Milena Mitrović
Dragan Ćetenović
V. Levi
E. Gryazina
Vladimir Terzija
71
11
0
26 Sep 2022
Scalable mRMR feature selection to handle high dimensional datasets:
  Vertical partitioning based Iterative MapReduce framework
Scalable mRMR feature selection to handle high dimensional datasets: Vertical partitioning based Iterative MapReduce framework
Yelleti Vivek
Polaki Durga Prasad
41
0
0
21 Aug 2022
ManiFeSt: Manifold-based Feature Selection for Small Data Sets
ManiFeSt: Manifold-based Feature Selection for Small Data Sets
David Cohen
Tal Shnitzer
Y. Kluger
Ronen Talmon
57
2
0
18 Jul 2022
Fast Feature Selection with Fairness Constraints
Fast Feature Selection with Fairness Constraints
Francesco Quinzan
Rajiv Khanna
Moshik Hershcovitch
S. Cohen
Daniel Waddington
Tobias Friedrich
Michael W. Mahoney
55
4
0
28 Feb 2022
Picasso: Model-free Feature Visualization
Picasso: Model-free Feature Visualization
Binh Vu
Igor L. Markov
FAttVLM
21
1
0
24 Nov 2021
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of
  24 Methods
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods
Atharv Yeoleka
Sagar Patel
Shreejaa Talla
Krishna Rukmini Puthucode
Azim Ahmadzadeh
V. Sadykov
R. Angryk
31
4
0
30 Sep 2021
Nonparametric Feature Impact and Importance
Nonparametric Feature Impact and Importance
T. Parr
James D. Wilson
J. Hamrick
FAtt
133
31
0
08 Jun 2020
1