Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: A review of automatic selection methods for machine learning algorithms and hyper-parameter values
Algorithms for Hyper-Parameter Optimization
Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn
On learning algorithm selection for classification
Algorithms for feature selection: An evaluation
Optimization Algorithms for Feature Selection in Classification: A Survey
Random search for hyper-parameter optimization
Online Choice of Active Learning Algorithms
The Algorithm Selection Problem
A Review of Feature Selection Algorithms for Data Mining Techniques
Analysis of Feature Selection Algorithms on Classification: A Survey
Effectiveness of Random Search in SVM hyper-parameter tuning
An effective algorithm for hyperparameter optimization of neural networks
Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
On the runtime analysis of selection hyper-heuristics with adaptive learning periods
Using kNN Model for Automatic Feature Selection
Gradient-Based Optimization of Hyperparameters
Hyperparameter Optimization of Deep Neural Networks : Combining Hyperband with Bayesian Model Selection
Practical Feature Subset Selection for Machine Learning
Parallel Architecture and Hyperparameter Search via Successive Halving and Classification
Proposed Architecture of MongoDB-Hive Integration
Penis Transplantation: First US Experience
Combating web spam with TrustRank
data mining for direct marketing : problems and .
Sequential model-based optimization for general algorithm configuration