Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: sequential model - based parameter optimisation : an experimental investigation of automated and inte .
An experimental investigation of model-based parameter optimisation: SPO and beyond
Additive sequential evolutionary design of experiments
Model Parameter Estimation Using Simulated Annealing
A model-based framework: an approach for profit-driven optimization
A Simple, Fast, and Effective Reparameterization of IBM Model 2
Towards an Empirical Foundation for Assessing Bayesian Optimization of Hyperparameters
Architecture-driven reliability optimization with uncertain model parameters
A Self-Adaptive Parameter Selection Trajectory Prediction Approach via Hidden Markov Models
Multi-Objective Non-parametric Sequential Prediction
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search
Machine learning for sequential data: A review
Dynamic Process Modeling: Combining Models and Experimental Data to Solve Industrial Problems
Practical Bayesian Optimization of Machine Learning Algorithms
An Overview of Evolutionary Algorithms for Parameter Optimization
Optimization Problems for Fast AAM Fitting in-the-Wild
Parameters optimization of deep learning models using Particle swarm optimization
Experimental study on population-based incremental learning algorithms for dynamic optimization problems
An Analysis of Model-Based Interval Estimation for Markov Decision Processes
A survey of optimization by building and using probabilistic models
Towards autonomous reinforcement learning: Automatic setting of hyper-parameters using Bayesian optimization
Recommendations for the standardisation of oxytocin nasal administration and guidelines for its reporting in human research
Student Engagement in Blended Learning Environments with Lecture-Based and Problem-Based Instructional Approaches
Signals and comonads
Memory access scheduling
The Relevance Vector Machine