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· 분류 : 외국도서 > 컴퓨터 > 컴퓨터 공학
· ISBN : 9783031568541
· 쪽수 : 409쪽
· 출판일 : 2024-04-16
목차
Evolutionary Machine Learning:?Hindsight Experience Replay with Evolutionary Decision Trees for Curriculum Goal Generation.-?Cultivating Diversity: A Comparison of Diversity Objectives in Neuroevolution.-?Evolving Reservoirs for Meta Reinforcement Learning.- Hybrid Surrogate Assisted Evolutionary Multiobjective Reinforcement Learning for Continuous Robot Control.-?Towards Physical Plausibility in Neuroevolution Systems.-?Leveraging More of Biology in Evolutionary Reinforcement Learning.- A Hierarchical Dissimilarity Metric for Automated Machine Learning?Pipelines, and Visualizing Search Behaviour.-?DeepEMO: A Multi-Indicator Convolutional Neural Network-based Evolutionary Multi-Objective Algorithm.-?A Comparative Analysis of Evolutionary Adversarial One-Pixel Attacks.-?Robust Neural Architecture Search using Differential Evolution for?Medical Images.-?Progressive Self-Supervised Multi-Objective NAS for Image Classification.- Genetic Programming with Aggregate Channel Features for Flower?Localization Using Limited Training Data.- Evolutionary Multi-Objective Optimization of Large Language Model?Prompts for Balancing Sentiments.- Evolutionary Feature-Binning with Adaptive Burden Thresholding for?Biomedical Risk Stratification.- An Evolutionary Deep Learning Approach for Efficient Quantum?Algorithms Transpilation.- Measuring Similarities in Model Structure of Metaheuristic Rule Set?Learners.- Machine Learning and AI in Digital Healthcare and?Personalized Medicine:?Incremental growth on Compositional Pattern Producing Networks?based optimization of biohybrid actuators.-?Problem Landscape Analysis for Efficient Optimization:?Hilbert Curves for Efficient Exploratory Landscape Analysis?Neighbourhood Sampling.- Predicting Algorithm Performance in Constrained Multiobjective?Optimization: A Tough Nut to Crack.-?On the Latent Structure of the bbob-biobj Test Suite.-?Soft Computing applied to Games.-?Strategies for Evolving Diverse and Effective Behaviours in Pursuit Domains.-?Using Evolution and Deep Learning to Generate Diverse Intelligent Agents.-?Vision Transformers for Computer Go.-?Surrogate-Assisted Evolutionary Optimisation:?Integrating Bayesian and Evolutionary Approaches for Multi-ObjectiveOptimisation.














