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UCSL : A Machine Learning Expectation-Maximization framework for
  Unsupervised Clustering driven by Supervised Learning

UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning

5 July 2021
Robin Louiset
Pietro Gori
Benoit Dufumier
J. Houenou
Antoine Grigis
Edouard Duchesnay
ArXivPDFHTML

Papers citing "UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning"

2 / 2 papers shown
Title
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals
Ilia Azizi
M. Boldi
V. Chavez-Demoulin
95
0
0
28 May 2024
Separating common from salient patterns with Contrastive Representation
  Learning
Separating common from salient patterns with Contrastive Representation Learning
Robin Louiset
Edouard Duchesnay
Antoine Grigis
Pietro Gori
SSL
DRL
43
1
0
19 Feb 2024
1