ResearchTrend.AI
Study of Feature Importance for Quantum Machine Learning Models

Study of Feature Importance for Quantum Machine Learning Models

Aaron Baughman
Kavitha Yogaraj
Rajat Hebbar
S. Ghosh
R. Haq
Yoshika Chhabra
ArXivPDFHTML

Papers citing "Study of Feature Importance for Quantum Machine Learning Models"

4 / 4 papers shown
Title
Large Scale Diverse Combinatorial Optimization: ESPN Fantasy Football Player Trades
Large Scale Diverse Combinatorial Optimization: ESPN Fantasy Football Player Trades
Aaron Baughman
Daniel Bohm
Micah Forster
Eduardo Morales
J. Powell
...
Kavitha Yogaraj
Yoshika Chhabra
S. Ghosh
R. Haq
Arjun Kashyap
44
2
0
04 Nov 2021
q-means: A quantum algorithm for unsupervised machine learning
q-means: A quantum algorithm for unsupervised machine learning
Iordanis Kerenidis
Jonas Landman
Alessandro Luongo
A. Prakash
42
216
0
10 Dec 2018
TED: Teaching AI to Explain its Decisions
TED: Teaching AI to Explain its Decisions
Michael Hind
Dennis L. Wei
Murray Campbell
Noel Codella
Amit Dhurandhar
Aleksandra Mojsilović
Karthikeyan N. Ramamurthy
Kush R. Varshney
39
110
0
12 Nov 2018
Supervised learning with quantum enhanced feature spaces
Supervised learning with quantum enhanced feature spaces
Vojtěch Havlíček
A. Córcoles
K. Temme
A. Harrow
A. Kandala
J. Chow
J. Gambetta
39
1,799
0
30 Apr 2018

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.