|
|
|
|
|
Derry Pramono Adi, Lukman Junaedi, Frismanda, Agustinus Bimo Gumelar, Andreas Agung Kristanto
Pág. 60 - 74
Initially, the goal of Machine Learning (ML) advancements is faster computation time and lower computation resources, while the curse of dimensionality burdens both computation time and resource. This paper describes the benefits of the Feature Selection...
ver más
|
|
|
|
|
|
|
|
|
Adam Wawrzynski and Julian Szymanski
To effectively process textual data, many approaches have been proposed to create text representations. The transformation of a text into a form of numbers that can be computed using computers is crucial for further applications in downstream tasks such ...
ver más
|
|
|
|
|
|
|
|
|
Edina Chandiwana, Caston Sigauke and Alphonce Bere
Probabilistic solar power forecasting has been critical in Southern Africa because of major shortages of power due to climatic changes and other factors over the past decade. This paper discusses Gaussian process regression (GPR) coupled with core vector...
ver más
|
|
|
|
|
|
|
|
|
Oleksandr Nesterenko,Igor Netesin,Valery Polischuk,Oleksandr Trofymchuk
Pág. 33 - 43
Improving the decision-making efficiency in defense planning based on the capabilities of military forces and means for performing purposeful tasks requires new methodological approaches and their implementation in the form of software information-analyt...
ver más
|
|
|
|
|
|
|
|
|
Sema Atasever, Zafer Aydin, Hasan Erbay and Mostafa Sabzekar
Predicting the secondary structure from protein sequence plays a crucial role in estimating the 3D structure, which has applications in drug design and in understanding the function of proteins. As new genes and proteins are discovered, the large size of...
ver más
|
|
|
|