training process for random decision tree training, in order to select the one that best describe the data from many of the family model of , or the like in order to select the one that best classify an item from the many features, describes the resource allocation for machine learning. In...
Machine Learning Strategies for Low-Cost Insole-Based Prediction of Center of Gravity during Gait in Healthy Males Whole-body center of gravity (CG) movements in relation to the center of pressure (COP) offer insights into the balance control strategies of the human bod... Moon, Jose,Lee, Do...
et al. LeSS agile projects: a machine learning driven empirical model to predict the human resource allocation. Int. j. inf. tecnol. 16, 861–870 (2024). https://doi.org/10.1007/s41870-023-01513-2 Download citation Received06 April 2023 Accepted28 August 2023 Published13 October 2023 ...
Chapter 2 Reinforcement Learning for Resource Allocation in Cognitive Radio Networks Chapter 2 is very similar with Chapeter 1 in the problem to solve and the way to solve it. That is to say, solving DSA via a Q learning method. First a Q-Learning method is presented. The model is someho...
A method for allocating resources for a machine learning model is disclosed. A machine learning model to be executed on a special purpose machine learning model processor is received. A computational data graph is generated from the machine learning model. The computational dataflow graph represents ...
To address these issues, a hybrid machine learning technique for resource allocation security with effective task scheduling in cloud computing is proposed in this study. Initially, a short scheduler for tasks built around the enhanced Particle Swarm Optimization algorithm (IPSO-TS) reduces make-span ...
Ground handling agentsService level agreementResource allocationMachine learningSupport vector machine.The airport ground handling has a global trend to meet the Service Level Agreement (SLA) requirementsthat represents resource allocation with more restrictions according to flights. That can be achieved by ...
In the evolving landscape of health care, optimal resource allocation emerges as a critical determinant of patient outcomes and facility efficiency. This study explores the integration of Internet of Things (IoT) devices and machine learning (ML) predictive analysis in healthcare facilities to optimize...
Application of machine learning techniques for predicting software effort In contrast, if the software development effort is underestimated it may lead to over allocation of man power and resource. There are many models for estimating software effort. The aim of the work is to estimate software effo...
At presents, there doesn't exist a polynomial-time algorithm for routing and resource allocation. In recent years, machine learning which shows great advantages in solving complex problems has been widely concerned and researched. Using machine learning to conduct routing and resource allocation has ...