Feature selection is often used when interpretability is key, while dimensionality reduction is more useful when seeking to capture hidden structures in the data. Dimensionality reduction techniques Similar to other ML methods, dimensionality reduction involves various specialized techniques tailored for ...
What Information Variables Predict Bitcoin Returns? A Dimension-Reduction Approachdoi:10.3905/jai.2023.1.187Sang Baum KangYao XieJialin ZhaoJournal of Alternative Investments
What is a variational autoencoder? Variational autoencoders (VAEs) aregenerative modelsused inmachine learning(ML) to generate new data in the form ofvariationsof the input data they’re trained on. In addition to this, they also perform tasks common to other autoencoders, such as denoising...
Leishmaniasis, a vector-borne disease that is caused by obligate intra-macrophage protozoa, is endemic in large areas of the tropics, subtropics and the Mediterranean basin (Fig. 1). This disease is characterized by both diversity and complexity1: it is caused by more than 20 leishmanial speci...
Vectors belong to the larger category oftensors. In machine learning (ML), “tensor” is used as a generic term for an array of numbers (or an array of arrays of numbers) inn-dimensional space, functioning like a mathematical bookkeeping device for data. ...
dimension has been suggested to be a determinant for success in endurance exercise, which is defined as physiological resilience (Jones2023), durability, fatigability or fatigue resistance; definitions which will be used interchangeably throughout the article. This is the ability to withstand the ...
It is slow: The apparent defect in manual takeoffs is a lag in time whereby there is wasted time manually keying in the figures on a worksheet. Reduced accuracy: There is also a reduction in accuracy compared to the digital takeoffs. ...
The inter-modality representation is first exploited to perform metaphor recognition, thereby detecting whether the meme contains metaphorical information. This procedure consists of a linear layer for dimension reduction and a softmax function for the probability distribution of each category. We utilize ...
There are still factors that are either absent from or contradictory in previous green literature (Farooq & Wicaksono, 2021), and the attempt to shed light on this phenomenon through the lenses of sustainability labels has been rare and still new. This is quite surprising, considering that ...
Research in Engineering Design (2024) 35:427–443 https://doi.org/10.1007/s00163-024-00441-x ORIGINAL PAPER What is generative in generative artificial intelligence? A design‑based perspective Antoine Bordas1 · Pascal Le Masson1 · Maxime Thomas1,2 · Benoit Weil1...