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AMIDST: A Java toolbox for scalable probabilistic machine learning.
Andrés R. Masegosa
Ana M. Martínez
Darío Ramos-López
Rafael Cabañas
Antonio Salmerón
Helge Langseth
Thomas D. Nielsen
Anders L. Madsen
Published in:
Knowl. Based Syst. (2019)
Keyphrases
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machine learning
lightweight
learning algorithm
artificial intelligence
information extraction
probabilistic model
bayesian networks
database
programming language
object oriented
decision trees
data mining
generative model
probability distribution
explanation based learning
source code
open source
learning systems
probability theory
machine learning algorithms
semi supervised learning
learning tasks
inductive learning
computational intelligence
web scale
data analysis
pattern recognition
software package
database systems
machine learning approaches
java programs
uncertain data
inductive logic programming
posterior probability
development environment
handling uncertainty
information theoretic
bit rate
model selection
text classification
data driven
web applications
natural language processing
semi supervised
natural language
high level
case study
web services
computer vision
data sets