Marc Boullé
5 papers · 2005–2019 · 2 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🐺 Lone Wolf (3)
🏆
Keyword Champion
(2)
Top co-authors
Research topics
Keywords
naive baye
(2)
naive bayes classifier
(2)
probabilistic modeling
(1)
bayesian inference
(1)
feature selection
(1)
supervised learning
(1)
time series classification
(1)
posterior distribution
(1)
bayesian model averaging
(1)
bayesian approach
(1)
prior distribution
(1)
model averaging
(1)
categorical attribute
(1)
forward-backward selection
(1)
model space
(1)
compression-based weighting
(1)
soft variable selection
(1)
bayesian partitioning
(1)
rank regression
(1)
model selection
(1)
Papers
FEARS: a Feature and Representation Selection approach for Time Series Classification
ACML 2019
A Parameter-Free Classification Method for Large Scale Learning
JMLR 2009
A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning
JMLR 2007
Compression-Based Averaging of Selective Naive Bayes Classifiers
JMLR 2007
A Bayes Optimal Approach for Partitioning the Values of Categorical Attributes
JMLR 2005