TreeMap 2016 Stand Size Code Algorithm (Image Service) by U.S. Forest Service (17476914)

“…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …”

On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization by Jiancong Xiao (22265935)

“…However, we argue that the predominant approach for aligning LLMs with human preferences through a reward model—reinforcement learning from human feedback (RLHF)—suffers from an inherent algorithmic bias due to its Kullback–Leibler-based regularization in optimization. …”

Supplementary file 1_3D colored point cloud classification of a deep-sea cold-water coral and sponge habitat using geometric features and machine learning algorithms.docx by Salem Morsy (10840104)

“…Three unsupervised (k-means (KM), fuzzy c-means (FCM), and Gaussian mixture model (GMM)) and three supervised (decision tree (DT), random forest (RF), and linear discriminant analysis (LDA)) machine learning (ML) algorithms were compared and assessed for accuracy and reliability. …”

Main code. by Jingguo Bi (21439766)

Performance of the machine learning algorithms. by Novel Chandra Das (19742953)

“…Twelve ML algorithms were trained under six class-balancing strategies with hyperparameters tuned via random search. …”

Performance of the machine learning algorithms. by Novel Chandra Das (19742953)

“…Twelve ML algorithms were trained under six class-balancing strategies with hyperparameters tuned via random search. …”

WGCNA and machine learning algorithms. by Shushu Wang (6870191)

Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived... by Quang Dung Dinh (20995766)

Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. by Jiren CAO (20442214)

The accuracy of all employed learning algorithms. by Quan Shao (20148209)

Code snippet from “Netty/Buffer” Maven artefact. by Matthew Yit Hang Yeow (20721206)

“…This paper proposes automating software reuse prediction by leveraging machine learning (ML) algorithms, enabling future research and practitioners to better identify highly reusable software. …”

Chromosome coding. by Junjie He (700642)

Results obtained from the supervised machine learning regression-based algorithms in the present work. by Akshansh Mishra (21001499)

“…<p>Results obtained from the supervised machine learning regression-based algorithms in the present work.…”

Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS) by bowen pang (21837359)

“…<p dir="ltr">The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. …”

The ranking of algorithms with MPTM mutation by TOPSIS. by Jalal- ud-Din (21474307)

Subjects:

The ranking of algorithms with NUM mutation by TOPSIS. by Jalal- ud-Din (21474307)

Subjects:

The ranking of algorithms with PM mutation by TOPSIS. by Jalal- ud-Din (21474307)

Subjects:

Code snippet from “Apache Dubbo” GitHub project. by Matthew Yit Hang Yeow (20721206)

“…This paper proposes automating software reuse prediction by leveraging machine learning (ML) algorithms, enabling future research and practitioners to better identify highly reusable software. …”

Data from the article titled Machine Learning Algorithms to Predict Digital Competencies in University Faculty by Jenniffer Sobeida Moreira Choez (16933539)

Results obtained from the supervised classification-based machine learning algorithms to predict deposition quality. by Akshansh Mishra (21001499)

“…<p>Results obtained from the supervised classification-based machine learning algorithms to predict deposition quality.…”