{"product_id":"optimization-and-learning-9783031779404","title":"Optimization and Learning","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Synergies Between Optimization and Machine Learning.\u003cbr\u003e.- \u003c\/strong\u003eHow is the objective function of the Feature Selection problem formulated?.\u003cbr\u003e.- HOTS : A containers resource allocation hybrid method using machine.\u003cbr\u003e.- Optimisation-based classi?cation tree: A game theoretic approach to group fairness.\u003cbr\u003e.- JaxDecompiler: Rede?ning Gradient-Informed Software Design.\u003cbr\u003e.- Adapted Q-learning for the Blocking Job Shop Scheduling Problem.\u003cbr\u003e.- NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming.\u003cbr\u003e.- Neural Architecture Tuning: A BO-Powered NAS Tool.\u003cbr\u003e\u003cstrong\u003e.- Enhancing Optimization and Learning Techniques.\u003c\/strong\u003e\u003cbr\u003e.- A Multi-objective Clustering Algorithm Integrating Intra-clustering and Inter-clustering Measures.\u003cbr\u003e.- A Bayesian Optimization Approach to Algorithm Parameter Tuning in Constrained Multiobjective Optimization.\u003cbr\u003e.- Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning.\u003cbr\u003e.- A Benchmark for Missing Data Imputation Techniques: development perspectives and performance comparative.\u003cbr\u003e.- Approaching Single-Episode Survival Reinforcement Learning with Safety-Threshold Q-Learning.\u003cbr\u003e.- Feature Selection Based on Membrane Clustering.\u003cbr\u003e\u003cstrong\u003e.- Transportation and Routing.\u003c\/strong\u003e\u003cbr\u003e.- Learning Insertion Patterns to Enhance Operational E?ciency in Large-Scale Dial-a-Ride Systems\u003cbr\u003e.- A Constraint Programming Approach for the Preference Tourist Trip Design Problem.\u003cbr\u003e.- Solving a shareable-setup time prize collection VRP applied to an electrical maintenance sector.\u003cbr\u003e\u003cstrong\u003e.- Applications.\u003c\/strong\u003e\u003cbr\u003e.- Biologically-Inspired Algorithms for Adaptive Non-Player Character Behavior in Video-Games.\u003cbr\u003e.- Optimization of Hydro Generation and Load Forecasting Based On LSTN.\u003cbr\u003e.- Patient Visits Forecasting in the Post-Pandemic Era at Emergency Departments.\u003cbr\u003e.- Nature-Inspired Techniques for Combinatorial Reverse Auctions in Electricity Consumption.\u003cbr\u003e.- Robust Models for Learning Languages.\u003cbr\u003e.- Advancing Road Safety Metrics: Exploring Index construction.\u003cbr\u003e.- S3EA: A Self-Supervised Stacked Ensemble Framework for Robust Anomaly Detection to Reduce  False Alarms.\u003cbr\u003e.- A Parallel Genetic Algorithm for Qubit Mapping on Noisy Intermediate-Scale Quantum Machines.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195426824535,"sku":"9783031779404","price":64.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/optimization-and-learning-9783031779404","provider":"Book Curl","version":"1.0","type":"link"}