Hierarchical relationship of sequence contexts and key algorithmic elements of Baymer. حسب Christopher J. Adams (1847317)

Algorithms used in this study. حسب Daniel Sanchez-Gomez (19065975)

"…This allowed us to develop a machine learning-based framework for the prediction of bead-forming minerals by training and benchmarking 13 of the most widely used supervised algorithms. …"

The learned policy used in sessions 3–5 for each algorithm complexity level. حسب Nele Albers (14203351)

الموضوعات:

Vector pattern synthesis for multiple types of elements. حسب Chanchan Xu (781156)

Synthesis process for a single type of element. حسب Chanchan Xu (781156)

Performance of machine learning algorithms. حسب Wenxue Liu (6877754)

Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification حسب Mengyu Li (5769422)

الموضوعات:

Algorithm 1: Random BBA generation—Uniform sampling from all focal elements. حسب Yi Yang (116183)

"…<p>Algorithm 1: Random BBA generation—Uniform sampling from all focal elements.…"

Range of the variables in the finite element simulations which were used to train and test the machine learning algorithms. حسب Jenson Jacob (17468087)

الموضوعات:

Elements of the spectral estimation algorithm. حسب Mark D. Humphries (11068147)

Depiction of the elements of our reservoir computing model. حسب Joseph Chrol-Cannon (596144)

الموضوعات:

Relationship between the three key elements in the sampling process. حسب Xiaochen He (455300)

Analysis of dictionary components learned by the SSMCA algorithm on natural image patches. حسب Jacquelyn A. Shelton (2210767)

Data_Sheet_1_Neural Network Training With Asymmetric Crosspoint Elements.pdf حسب Murat Onen (8163432)

"…Then, we explain the theoretical underpinnings of a novel fully-parallel training algorithm that is compatible with asymmetric crosspoint elements. …"

Prediction performance for a sequence set with 10 overlapping elements. حسب Younes Bouhadjar (12902755)

الموضوعات:

Table_1_Utilizing the Heterogeneity of Clinical Data for Model Refinement and Rule Discovery Through the Application of Genetic Algorithms to Calibrate a High-Dimensional Agent-Bas... حسب Chase Cockrell (543690)

"…Herein we propose a machine learning approach that utilizes genetic algorithms (GAs) to calibrate and refine an agent-based model (ABM) of acute systemic inflammation, with a focus on accounting for the heterogeneity seen in a clinical data set, thereby avoiding overfitting and increasing the robustness and potential generalizability of the underlying simulation model.…"

The sampling-efficacy following by two methods. حسب Minbeom Kim (9953131)

Data_Sheet_1_Utilizing the Heterogeneity of Clinical Data for Model Refinement and Rule Discovery Through the Application of Genetic Algorithms to Calibrate a High-Dimensional Agen... حسب Chase Cockrell (543690)

"…Herein we propose a machine learning approach that utilizes genetic algorithms (GAs) to calibrate and refine an agent-based model (ABM) of acute systemic inflammation, with a focus on accounting for the heterogeneity seen in a clinical data set, thereby avoiding overfitting and increasing the robustness and potential generalizability of the underlying simulation model.…"

The five elements of the Community Simulator. حسب Robert Marsland (8616483)

DataSheet_1_Laser-induced breakdown spectroscopy as an analytical tool for total carbon quantification in tropical and subtropical soils: evaluation of calibration algorithms.pdf حسب Diego Victor Babos (6679352)