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Machine Learning, Optimization, and Data Science: 9th International Conference, Lod 2023, Grasmere, Uk, September 22-26, 2023, Revised Selected Papers

Machine Learning, Optimization, and Data Science: 9th International Conference, Lod 2023, Grasmere, Uk, September 22-26, 2023, Revised Selected Papers (Paperback, 2024)

Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa (엮은이)
Springer
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Machine Learning, Optimization, and Data Science: 9th International Conference, Lod 2023, Grasmere, Uk, September 22-26, 2023, Revised Selected Papers
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책 정보

· 제목 : Machine Learning, Optimization, and Data Science: 9th International Conference, Lod 2023, Grasmere, Uk, September 22-26, 2023, Revised Selected Papers (Paperback, 2024) 
· 분류 : 외국도서 > 컴퓨터 > 데이터 프로세싱
· ISBN : 9783031539688
· 쪽수 : 515쪽
· 출판일 : 2024-02-16

목차

Consensus-based Participatory Budgeting for Legitimacy: Decision Support?via Multi-agent Reinforcement Learning.-?Leverage Mathematics? capability to compress and generalize as application?of ML Embedding extraction from LLMs and its adaptation in the Automotive?Space.- Speeding up Logic-Based Benders Decomposition by Strengthening Cuts with?Graph Neural Networks.-?38 Flocking Method for Identifying of Neural Circuits in Optogenetic Datasets.-?A Machine Learning Approach for Source Code Similarity via Graph-focused?Features.-?Knowledge distillation with Segment Anything (SAM) model for Planetary?Geological Mapping.-?ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation.-?Perceptrons Under Veri able Random Data Corruption.-?104 Dynamic Soaring in Uncertain Wind Conditions: Polynomial Chaos Expansion Approach.-?Solving Continuous Optimization Problems with a new Hyperheuristic Framework.- Benchmarking Named Entity Recognition Approaches for Extracting Research Infrastructure Information from Text.-?Genetic Programming with Synthetic Data for Interpretable Regression?Modelling and Limited Data.-?A FastMap-Based Framework for E ciently Computing Top-K Projected?Centrality.-?Comparative analysis of machine learning models for time-series forecasting?of Escherichia coli contamination in Portuguese shell sh production areas.-?The Price of Data Processing?Gail Gilboa Freedman.-?Reward Shaping for Job Shop Scheduling.-?A 3D Terrain Generator: Enhancing Robotics Simulations with GANs.-?Hybrid Model for Impact Analysis of Climate Change on Droughts in Indian?Region.-?Bilevel Optimization by Conditional Bayesian Optimization.-?Few-Shot Learning for Character Recognition in Persian Historical Documents.-?ProVolOne ? Protein Volume Prediction Using a Multi-Attention, Multi-Resolution Deep Neural Network and Finite Element Analysis.-?A data-driven monitoring approach for diagnosing quality degradation in a?glass containerprocess.-?Exploring emergent properties of recurrent neural networks using novel energy function formalism.-?Co-Imagination of Behaviour & Morphology of Agents.-?An Evolutionary Approach to Feature Selection and Classification.-?"It Looks All the Same to Me": Cross-index Training for Long-term Financial Series Prediction.-?U-FLEX: Unsupervised Feature Learning with Evolutionary eXploration.-?Improved Filter-Based Feature Selection Techniques Based on Correlation?and Clustering Techniques.-?Deep Active Learning with Concept Drifts for detection of Mercury's Bow?Shock and Magnetopause Crossings.-?Modeling Primacy, Recency, and Cued recall in serial memory task using?on-center o -surround recurrent neural network.-?Joining Emission Data from Diverse Economical Activity Taxonomies with?Evolution Strategies.-?GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators.-?Can Complexity Measures and Instance Hardness Measures Reflect the Actual Complexity of Microarray Data.-?Two Steps Forward and One Behind: Rethinking Time Series Forecasting?with Deep Learning.-?Real-Time Emotion Recognition in Online Video Conferences for Medical?Consultations.-?Attentive perturbation: extending pre x tuning to large language models?inner representations.-?SoftCut: a fully di erentiable relaxed graph cut approach for deep learning?image segmentation.

저자소개

Giuseppe Nicosia (지은이)    정보 더보기
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Varun Ojha (엮은이)    정보 더보기
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Emanuele La Malfa (엮은이)    정보 더보기
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