Results 11 to 20 of about 1,151,147 (311)
IEEE Access, 2023 This research proposes a multi-level predictive algorithm based on the k-means algorithm with multiple adaptations. The research highlights the main limitations of k-means and proposes a set of adaptations that enhance the clustering task results in ...
Ayman E. Khedr +2 more
doaj +1 more source
ACM Computing Surveys, 2017 Feature selection, as a data preprocessing strategy, has been proven to be effective and efficient in preparing data (especially high-dimensional data) for various data-mining and machine-learning problems. The objectives of feature selection include building simpler and more comprehensible models, improving data-mining performance, and preparing clean,
Jundong Li +6 more
openaire +2 more sources
Frontiers in Neuroergonomics, 2023 We have all experienced the sense of time slowing down when we are bored or speeding up when we are focused, engaged, or excited about a task. In virtual reality (VR), perception of time can be a key aspect related to flow, immersion, engagement, and ...
Marc-Antoine Moinnereau +2 more
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Features Selection for Entity Resolution in Prostitution on Twitter
, 2021 Entity resolution is the process of determining whether two references to real-world objects refer to the same or different purposes. This study applies entity resolution on Twitter prostitution dataset based on features with the Regularized Logistic ...
Permatasari, Reisa, Rakhmawati, Nur Aini
core +2 more sources
Machine and Deep Learning Applied to Predict Metabolic Syndrome without a Blood Screening
Applied Sciences, 2021 The exponential increase of metabolic syndrome and its association with the risk impact of morbidity and mortality has propitiated the development of tools to diagnose this syndrome early.
Guadalupe O. Gutiérrez-Esparza +5 more
doaj +1 more source
20 features selection of information gain.
, 2021 20 features selection of information gain.
Juliza Mohamad Arif (11506635) +5 more
core +1 more source
Transformer Oil Quality Assessment Using Random Forest with Feature Engineering
Energies, 2021 Machine learning is widely used as a panacea in many engineering applications including the condition assessment of power transformers. Most statistics attribute the main cause of transformer failure to insulation degradation.
Mohammed El Amine Senoussaoui +2 more
doaj +1 more source
20 features selection of evolutionary computation.
, 2021 20 features selection of evolutionary computation.
Juliza Mohamad Arif (11506635) +5 more
core +1 more source
Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System. [PDF]
ScientificWorldJournal, 2015 The impact of the classification method and features selection for the speech emotion recognition accuracy is discussed in this paper. Selecting the correct parameters in combination with the classifier is an important part of reducing the complexity of ...
Partila P, Voznak M, Tovarek J.
europepmc +3 more sources