Activation functions: Sigmoid function and ReLU function. by Wan-Hua Zhang (21601139)

Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. by Ege Altan (11768156)

Subjects:

Route for bays29 output by ABSQL algorithm. by Jin Zhang (53297)

“…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …”

Boxplot of PLNMFG and other eight state-of-the-art algorithms measured by (a) ACC and (b) AMI on six real datasets. by Hui Yuan (402180)

Relearning under noisy feedback signal using recursive-least-squares algorithm and local learning algorithm [47]. by Barbara Feulner (10104552)

“…<p>(A-B) Relearning performance, measured as mean squared error (MSE), as a function of the amplitude of the noise in the feedback signal using recursive-least-squares (RLS) algorithm (A) and an alternative implementation with a local learning algorithm (Eprop) (B). …”

Myosoft: An automated muscle histology analysis tool using machine learning algorithm utilizing FIJI/ImageJ software by Lucas Encarnacion-Rivera (8532147)

Genetic algorithms can be applied to higher-dimensional design problems. by Lu Hong (399882)

Subjects:

Combining Deep Learning Neural Networks with Genetic Algorithms to Map Nanocluster Configuration Spaces with Quantum Accuracy at Low Computational Cost by Johnathan von der Heyde (16828390)

Subjects:

Multimodal reference functions. by Ruiyu Zhan (21602031)

“…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”

Fluctuation of the objective function of our mathematical model with respect to shifts in one input signal of a data sample. by Sebastian Sager (16205)

Generation of simulated datasets. by Ege Altan (11768156)

Subjects:

Architecture of the Joint Autoencoder. by Ege Altan (11768156)

Subjects:

Dimensionality of noise free datasets. by Ege Altan (11768156)

Subjects:

Dimensionality of noise free datasets with unequal variance. by Ege Altan (11768156)

Subjects:

Amount of data required by dimensionality estimators. by Ege Altan (11768156)

Subjects:

Effect of noise on dimensionality estimates. by Ege Altan (11768156)

Subjects:

Recommended analysis pipeline for estimating the dimensionality of multi-electrode array recordings. by Ege Altan (11768156)

Subjects:

Effect of increasing true dimensionality on dimensionality estimates. by Ege Altan (11768156)

Subjects:

Effect of changing the degree of nonlinearity. by Ege Altan (11768156)

Subjects:

Example of how the Resnet34UNet model functions. by Henrik Mustonen (20378529)