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Recent Advances in Machine Learning and Computational Intelligence

Machine learning and computational intelligence have been applied to various areas and witnessed many successes. The research in this publication explorse many intelligent algorithms which are characterized by computational adaptability, robustness, and high performance. These algorithms facilitate...

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Bibliographic Details
Main Author: Wu, Yue
Other Authors: Zhang, Xinglong, Jia, Pengfei
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Machine Learning
Naive Bayesian Classifier
Subsection Proximal Policy Optimization
Mixed-attribute Classification
Autonomous Driving
N/a
Attribute Transformation
Deep Learning
Vectorization
Differential Evolution Strategy
Attribute Independence Assumption
Tactics For High Performance
Weighted Importance Sampling
Jump Point Search Algorithm
Mask R-cnn
Torcs
Cross-validation
Rja-star Algorithm
Facial Skin Problem
Beta Function
Left Ventricle Segmentation
Evolutionary Algorithm
Reinforcement Learning
Model Predictive Control
Information Technology Industries / Bicssc
Vehicle-following
Magnetic Resonance Imaging
Sentiment Analysis
Optimization Algorithm
Path Planning
Credit Scoring
Feature Importance
Computer Science / Bicssc
Unet 3+
Global Search Optimization
Super Resolution
Parameter Adaptive
Bayesian Network
Quadruped Robot
Crow Search Algorithm
Generative Adversarial Network (gan)
Weighted Mean Of Vectors
Encoder-decoder
Transformer
Search Accuracy
Dynamic Multi-objective Optimization Problems
R5dos Intersection Matrix
Conditional Probability
Many-objective Optimization Problems
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:Machine learning and computational intelligence have been applied to various areas and witnessed many successes. The research in this publication explorse many intelligent algorithms which are characterized by computational adaptability, robustness, and high performance. These algorithms facilitate intelligent behavior in complex and dynamic environments and the development of technology that enables machines to think, behave, or act in a more humanesque fashion. This reprint aims to present and discuss the most recent innovations, trends, concerns, challenges, solutions, and application fields in the areas of machine learning and computational intelligence.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (216 p.)
ISBN:books978-3-0365-7483-7
9783036574837
9783036574820

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