This paper explores which one of the two key factors, i.e., feature extraction and classification algorithm, is more essential for a specific task of vibration signal diagnosis during a learning system is generated. Feature extractions from vibration signal based on both well-known Gaussian model...
One well-known category has sets as objects and functions as arrows. Just as a monoid consists of an underlying set with a binary operation "on top of it" which is closed, associative and with an identity, a category consists of an underlying digraph with an arrow composition operation "on...
The proposed weighing algorithm is the same one that is used in modern successive-approximation ADCs. (It should be noted that this solution will actually measure unknown weights up to 63 lb (26 –1) rather than 40 lb as stated in the problem).* The binary algorithm, using a balance ...
When to Use Which One Karyna Naminas CEO of Label Your Data Share on LinkedIn Post on Twitter TL;DR 1 Choose an algorithm based on the specific task you need to solve, like prediction or classification. 2 Ensure your data is clean, annotated, and sufficient for the algorithm's training...
The relative judgments such as pairwise judgments can be viewed as a good alternative, however, One concern of using this strategy is the complexity of judgment since the number of document pairs is polynomial in the number of document. Recently, many research work attempt to reduce the ...
Logistic regression is a simple, fast yet powerful classification algorithm. Here we discuss the binary case where the dependent variable yy only takes binary values {yi∈(−1,1)}Ni=1{yi∈(−1,1)}i=1N (it which can be easily extended to multi-class classification problems). In ...
Supervised learning has many uses and is one of the finest methods for obtaining accurate results. Here is a collection of well-known applications of supervised learning: Bioinformatics –It involves preserving the biological data of individuals, encompassing elements such as fingerprints, iris patterns...
from Gain = 1 in log scale so it is a tie. "margin" could theoretically return -Inf dB or +Inf dB. But, since it is a tie, the algorithm returned the lower value in absolute terms. In these situations, the use of "allmargin" is ideal as i...
This Python code defines a custom dataset class (CustomDataset) using PyTorch'sDatasetclass. The dataset is initialized with data from a CSV file (csv_file). Each data sample consists of two features and one class label. Libraries Used ...
We deduce that, for every k not co-prime with n, the multiplicative inverse function sums to zero over at least one k-dimensional F2-subspace of F2n and is then not kth-order sum-free. We derive a formula valid for any direct sum of vector spaces, which allows to prove that the ...