Description

Book Synopsis

.- Synergies Between Optimization and Machine Learning.
.- How is the objective function of the Feature Selection problem formulated?.
.- HOTS : A containers resource allocation hybrid method using machine.
.- Optimisation-based classi?cation tree: A game theoretic approach to group fairness.
.- JaxDecompiler: Rede?ning Gradient-Informed Software Design.
.- Adapted Q-learning for the Blocking Job Shop Scheduling Problem.
.- NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming.
.- Neural Architecture Tuning: A BO-Powered NAS Tool.
.- Enhancing Optimization and Learning Techniques.
.- A Multi-objective Clustering Algorithm Integrating Intra-clustering and Inter-clustering Measures.
.- A Bayesian Optimization Approach to Algorithm Parameter Tuning in Constrained Multiobjective Optimization.
.- Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning.
.- A Benchmark for Missing Data Imputation Techniques: development perspectives and performance comparative.
.- Approaching Single-Episode Survival Reinforcement Learning with Safety-Threshold Q-Learning.
.- Feature Selection Based on Membrane Clustering.
.- Transportation and Routing.
.- Learning Insertion Patterns to Enhance Operational E?ciency in Large-Scale Dial-a-Ride Systems
.- A Constraint Programming Approach for the Preference Tourist Trip Design Problem.
.- Solving a shareable-setup time prize collection VRP applied to an electrical maintenance sector.
.- Applications.
.- Biologically-Inspired Algorithms for Adaptive Non-Player Character Behavior in Video-Games.
.- Optimization of Hydro Generation and Load Forecasting Based On LSTN.
.- Patient Visits Forecasting in the Post-Pandemic Era at Emergency Departments.
.- Nature-Inspired Techniques for Combinatorial Reverse Auctions in Electricity Consumption.
.- Robust Models for Learning Languages.
.- Advancing Road Safety Metrics: Exploring Index construction.
.- S3EA: A Self-Supervised Stacked Ensemble Framework for Robust Anomaly Detection to Reduce  False Alarms.
.- A Parallel Genetic Algorithm for Qubit Mapping on Noisy Intermediate-Scale Quantum Machines.

Optimization and Learning

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    Order before 4pm today for delivery by Sat 1 Aug 2026.

    A Paperback by Bernabe Dorronsoro

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      Publisher: Springer
      Publication Date: Publication Date: 01/03/2025
      ISBN13: 9783031779404, 978-3031779404
      ISBN10:
      Also in:
      Computing Artificial intelligence (AI)

      Description

      Book Synopsis

      .- Synergies Between Optimization and Machine Learning.
      .-       How is the objective function of the Feature Selection problem formulated?.
      .- HOTS : A containers resource allocation hybrid method using machine.
      .- Optimisation-based classi?cation tree: A game theoretic approach to group fairness.
      .- JaxDecompiler: Rede?ning Gradient-Informed Software Design.
      .- Adapted Q-learning for the Blocking Job Shop Scheduling Problem.
      .- NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming.
      .- Neural Architecture Tuning: A BO-Powered NAS Tool.
      .- Enhancing Optimization and Learning Techniques.
      .- A Multi-objective Clustering Algorithm Integrating Intra-clustering and Inter-clustering Measures.
      .- A Bayesian Optimization Approach to Algorithm Parameter Tuning in Constrained Multiobjective Optimization.
      .- Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning.
      .- A Benchmark for Missing Data Imputation Techniques: development perspectives and performance comparative.
      .- Approaching Single-Episode Survival Reinforcement Learning with Safety-Threshold Q-Learning.
      .- Feature Selection Based on Membrane Clustering.
      .- Transportation and Routing.
      .- Learning Insertion Patterns to Enhance Operational E?ciency in Large-Scale Dial-a-Ride Systems
      .- A Constraint Programming Approach for the Preference Tourist Trip Design Problem.
      .- Solving a shareable-setup time prize collection VRP applied to an electrical maintenance sector.
      .- Applications.
      .- Biologically-Inspired Algorithms for Adaptive Non-Player Character Behavior in Video-Games.
      .- Optimization of Hydro Generation and Load Forecasting Based On LSTN.
      .- Patient Visits Forecasting in the Post-Pandemic Era at Emergency Departments.
      .- Nature-Inspired Techniques for Combinatorial Reverse Auctions in Electricity Consumption.
      .- Robust Models for Learning Languages.
      .- Advancing Road Safety Metrics: Exploring Index construction.
      .- S3EA: A Self-Supervised Stacked Ensemble Framework for Robust Anomaly Detection to Reduce  False Alarms.
      .- A Parallel Genetic Algorithm for Qubit Mapping on Noisy Intermediate-Scale Quantum Machines.

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