Pages that link to "Item:Q1681979"
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The following pages link to Machine learning models and algorithms for big data classification. Thinking with examples for effective learning (Q1681979):
Displaying 12 items.
- Machine learning for big data analysis (Q1716171) (← links)
- Metaheuristics for data mining (Q2001197) (← links)
- A literature review on correlation clustering: cross-disciplinary taxonomy with bibliometric analysis (Q2079285) (← links)
- Type-2 fuzzy sets and Newton's fuzzy potential in an algorithm of classification objects of a conceptual space (Q2093027) (← links)
- A novel gradient feature importance method for neural networks: an application to controller gain tuning for mobile robots (Q2101729) (← links)
- Lung radiomics features for characterizing and classifying COPD stage based on feature combination strategy and multi-layer perceptron classifier (Q2688388) (← links)
- A contemporarymulti-objective feature selection model for depression detection using a hybrid pBGSK optimization algorithm (Q6100075) (← links)
- Facial expression and body gesture emotion recognition: a systematic review on the use of visual data in affective computing (Q6101329) (← links)
- Machine learning enhanced exploration of bubble dynamics beneath a horizontal wall (Q6497175) (← links)
- Tuning parameters of deep neural network training algorithms pays off: a computational study (Q6635854) (← links)
- On some dynamics in conceptual spaces (Q6661239) (← links)
- A new model for lung cancer prediction based on differential evolution algorithm and effective feature selection (Q6669555) (← links)
