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Machine Learning
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Machine Learning
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Machine Learning
4
(top 4%)
Impact Factor
5
(top 4%)
extended IF
168
(top 2%)
H-Index
951
authors
2.1K
papers
206.9K
citations
7.6K
citing journals
68.9K
citing authors
Most Cited Articles of Machine Learning
Title
Year
Citations
Support-vector networks
1995
27K
Bagging predictors
1996
13.9K
Induction of decision trees
1986
9K
Gene Selection for Cancer Classification using Support Vector Machines
2002
5.2K
Q-learning
1992
5.1K
Induction of Decision Trees
1986
3.1K
Extremely randomized trees
2006
2.7K
Bayesian Network Classifiers
1997
2.7K
Instance-based learning algorithms
1991
2.7K
Learning to predict by the methods of temporal differences
1988
2.4K
The strength of weak learnability
1990
2.2K
Finite-time Analysis of the Multiarmed Bandit Problem
2002
2.1K
A Bayesian method for the induction of probabilistic networks from data
1992
2K
Simple statistical gradient-following algorithms for connectionist reinforcement learning
1992
1.8K
Learning Bayesian networks: The combination of knowledge and statistical data
1995
1.8K
Genetic Algorithms and Machine Learning
1988
1.7K
Support Vector Data Description
2004
1.7K
Theoretical and Empirical Analysis of ReliefF and RReliefF
2003
1.7K
Improved Boosting Algorithms Using Confidence-rated Predictions
1999
1.6K
Technical Note: Q-Learning
1992
1.5K
Text Classification from Labeled and Unlabeled Documents using EM
2000
1.4K
Unsupervised Learning by Probabilistic Latent Semantic Analysis
2001
1.4K
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
2003
1.4K
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
1999
1.4K
The CN2 induction algorithm
1989
1.4K
previous
1989
1990
1991
How are inpact factors calculated?
The impact factor (IF) is calculated by counting citations from peer-reviewed journals only.
extended IF
also counts citations from books and conference papers. However, no patent, abstract, working papers, online documents, etc., are covered.
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