Encyclopedia of Machine Learning

By Claude Sammut, Geoffrey I. Webb. Encyclopedia of Machine Learning, 2011

1,400 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/ed875931b55fd413bff6e04ab58d594647065eac

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In Artificial Intelligence

In Control and Systems Engineering

Citations in the corpus

Machine learning in manufacturing: advantages, challenges, and applications (2016, neutral): “Three typical examples of unsupervised learning are clustering, association rules, and self-organizing maps’ (Sammut & Webb, 2011).”
Optimizing connection weights in neural networks using the whale optimization algorithm (2016, background): “The most popular examples of swarm-based algorithms are the particle swarm optimization (PSO) (Zhang et al. 2015; Kennedy 2010), ant colony optimization (ACO) (Chandra 2012; Dorigo et al. 2006), and the artiﬁcial bee colony (ABC) (Karaboga et al. 2014; Karaboga 2005).”
Advances in Sine Cosine Algorithm: A comprehensive survey (2021, methodology): “…Differential Evolution (DE) algorithm (Storn and Price 1997), Genetic algorithm (GA) (Deb et al. 2002), Particle Swarm Optimization (PSO) algorithm (Kennedy 2011), Gravitational Search algorithm (GSA) (Rashedi et al. 2009), Bat Algorithm (BA) (Yang 2010b), Artificial Bee Colony (ABC) algorithm…”
Models for early prediction of at-risk students in a course using standards-based grading (2016, neutral): “In the case of a low training sample size, a simple model with high bias and low variance such as NBC has an advantage over complex models with low bias and high variance such as KNN because the latter will over ﬁ t (Sammut & Webb, 2011).”
A Systematic Review on Imbalanced Data Challenges in Machine Learning (2019, background): “These two terms can be used in combination in some domains for the predictive performance of classification model (Sammut and Webb 2011).”
A review of novelty detection (2014, background): “General multiclass classification problems are often decomposed into multiple two-class classification problems, where the twoclass problem is considered the basic classification task [16,17].”
Efficient multi-objective molecular optimization in a continuous latent space (2019, background): “information gained during their search and “communicating” with other particles in the swarm [23].”
A Neuroevolution Approach to General Atari Game Playing (2014, background): “Specifics of ANN topology are discussed in Section VI.”