A pedestrian detection method based on genetic algorithm for optimize XGBoost training parameters
Y Jiang, G Tong, H Yin, N Xiong - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we present a machine learning classifier which is used for pedestrian detection
based on XGBoost. Our approach, the Genetic Algorithm is introduced to optimize the …
based on XGBoost. Our approach, the Genetic Algorithm is introduced to optimize the …
A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering
Yield prediction is essential in food security, food trade, and field management. However,
due to the associated complex formation mechanisms of yield, accurate and timely yield …
due to the associated complex formation mechanisms of yield, accurate and timely yield …
[HTML][HTML] A new in-form and role-based deep player performance index for player evaluation in T20 cricket
CD Prakash, S Verma - Decision Analytics Journal, 2022 - Elsevier
Sports analytics has benefited immensely from the growth and popularity of Machine
Learning algorithms. Machine Learning and Data Mining advances have enabled sports …
Learning algorithms. Machine Learning and Data Mining advances have enabled sports …
Machine learning approach to predicting a basketball game outcome
RP Alonso, MB Babac - International journal of data science, 2022 - inderscienceonline.com
The outcome of a basketball match depends on many factors, such as the morale of a team
or a player, skills, coaching strategy, and many others. Thus, it is a challenging task to …
or a player, skills, coaching strategy, and many others. Thus, it is a challenging task to …
Bayesian-optimized extreme gradient boosting models for classification problems: an experimental analysis of product return case
B Bhattacharjee, K Unni, M Pratap - Journal of Systems and …, 2024 - emerald.com
Purpose Product returns are a major challenge for e-businesses as they involve huge
logistical and operational costs. Therefore, it becomes crucial to predict returns in advance …
logistical and operational costs. Therefore, it becomes crucial to predict returns in advance …
An overview of beach soccer, sepak takraw and the application of machine learning in team sports
This chapter shall provide an overview of the sport of beach soccer as well as sepak takraw.
It then provides a brief review on existing literature that employs machine learning on team …
It then provides a brief review on existing literature that employs machine learning on team …
Basketball players' score prediction using artificial intelligence technology via the Internet of Things
F Su, M Chen - The Journal of Supercomputing, 2022 - Springer
Abstract The National Basketball Association's (NBA) tournaments are watched by people
all over the world via the Internet of Things (IoT). Players who score more points are …
all over the world via the Internet of Things (IoT). Players who score more points are …
Evaluating the effectiveness of machine learning models for performance forecasting in basketball: a comparative study
Sports analytics (SA) incorporate machine learning (ML) techniques and models for
performance prediction. Researchers have previously evaluated ML models applied on a …
performance prediction. Researchers have previously evaluated ML models applied on a …
Shooting Prediction Based on Vision Sensors and Trajectory Learning
Basketball has become one of the most popular sports and is generally popular in
international sports events. However, how to effectively achieve shooting prediction and …
international sports events. However, how to effectively achieve shooting prediction and …
농구승패결정요인추정을위한앙상블머신러닝모형의성능비교: 2022 FIBA 남자농구아시아컵대회를중심으로
범쟁쟁， 이성노 - 한국체육과학회지, 2023 - dbpia.co.kr
농구 승패결정요인 추정을 위한 앙상블 머신러닝 모형의 성능 비교 Page 1 1) Abstract The
purpose of this study is to predict win-loss determinants using random forest and XGBoost …
purpose of this study is to predict win-loss determinants using random forest and XGBoost …