Results 111 to 120 of about 85,077 (292)

Learning a Decision Tree Algorithm with Transformers

Decision trees are renowned for their ability to achieve high predictive performance while remaining interpretable, especially on tabular data. Traditionally, they are constructed through recursive algorithms, where they partition the data at every node in a tree.
Zhuang, Yufan, Liu, Liyuan, Singh, Chandan, Shang, Jingbo, Gao, Jianfeng   +4 more
openaire   +2 more sources

Comparison Of Lung Cancer Classification Using Decision Tree And Random Forest

Komputika
Kanker paru-paru merupakan penyebab utama kematian akibat kanker di berbagai usia, dengan faktor risiko seperti merokok, polusi udara, dan penyakit kronis. Kanker paru-paru ditandai oleh pertumbuhan sel tidak terkendali di jaringan paru-paru, yang dapat
Rabiatul Adawiyah, Dwi Cahya Julia Kartikasari   +1 more
doaj   +1 more source

Decision tree learning on very large data sets [PDF]

, 2002
Lawrence Hall, Nitesh V. Chawla, Kevin W. Bowyer   +2 more
openalex   +1 more source

Vision‐Assisted Avocado Harvesting with Aerial Bimanual Manipulation

Advanced Robotics Research, EarlyView.
This work outlines the design and implementation of a bimanual aerial robot that employs visual perception and learning to detect, reach, and harvest avocados. A new gripper and fixer arm assembly is used to harvest avocados, while visual perception enables the detection of avocados and estimation of their position and orientation for determining ...
Zhichao Liu, Jingzong Zhou, Caio Mucchiani, Konstantinos Karydis   +3 more
wiley   +1 more source

Classification of LED Packages for Quality Control by Discriminant Analysis, Neural Network and Decision Tree

Micromachines
This study investigates supervised learning to improve LED classification. A hardware system for testing was built. The data for learning were acquired and then analyzed to show their characteristics.
Heesoo Shim, Sun Kyoung Kim
doaj   +1 more source

Binary Halftone Image Resolution Increasing by Decision Tree Learning [PDF]

, 2004
Hae Yong Kim
openalex   +1 more source

Integration of Soft‐Robotics and Deep Learning to Assess the Coordinated Biosonar Emission and Reception Dynamics in Hipposiderid Bats

Advanced Robotics Research, EarlyView.
Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang, Ruihao Wang, Xiaoyan Yin, Luhui Yang, Rolf Müller   +4 more
wiley   +1 more source

Benchmarking Assessment of Supervised Machine Learning Algorithms of K-Nearest Neighbor, Random Forest, Decision Tree and Its Variants Based On Efficiency and Performance Metrics

Journal of Applied Sciences and Environmental Management
Machine learning provides more verbose algorithms capable of accurately predicting, classifying groups as needed. Consequently, the objective of this paper is to assess the benchmarking of Supervised Machine Learning Algorithms of K-Nearest Neighbor ...
Y. Y. Abdullahi, A. S. Nur, A. Sale
doaj  

In‐Hand Singulation, Scooping, and Cable Untangling with a 5‐Dof Tactile‐Reactive Gripper

Advanced Robotics Research, EarlyView.
This article presents a two‐fingered gripper with five degrees of freedom and a vision‐based tactile sensor for dexterous in‐hand manipulation. It performs complex tasks such as object singulation within granular media, scooping and precise card insertion, and cable untangling.
Yuhao Zhou, Pokuang Zhou, Shaoxiong Wang, Yu She   +3 more
wiley   +1 more source

Robust Machine Learning Applied to Astronomical Data Sets. I. Star‐Galaxy Classification of the Sloan Digital Sky Survey DR3 Using Decision Trees [PDF]

, 2006
Nicholas M. Ball, Robert J. Brunner, Adam D. Myers, David Tcheng   +3 more
openalex   +1 more source