ScienceOpen:
research and publishing network
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
My ScienceOpen
Sign in
Register
Dashboard
Blog
About
Search
Advanced search
My ScienceOpen
Sign in
Register
Dashboard
Search
Search
Advanced search
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
Blog
About
2
views
7
references
Top references
cited by
0
Cite as...
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
2,683
similar
All similar
Record
: found
Abstract
: not found
Book Chapter
: not found
Applications of Evolutionary Computation : 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings
Evaluating Models with Dynamic Sampling Holdout
other
Author(s):
Celio H. N. Larcher
,
Helio J. C. Barbosa
Publication date
(Online):
April 01 2021
Publisher:
Springer International Publishing
Read this book at
Publisher
Buy book
Review
Review book
Invite someone to review
Bookmark
Cite as...
There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
The Dynamic Brain
Most cited references
7
Record
: found
Abstract
: not found
Conference Proceedings
: not found
XGBoost
Tianqi Chen
,
Carlos Guestrin
(2016)
0
comments
Cited
2495
times
– based on
0
reviews
Bookmark
Record
: found
Abstract
: not found
Book Chapter
: not found
Ensemble Methods in Machine Learning
Thomas G Dietterich
(2000)
0
comments
Cited
626
times
– based on
0
reviews
Bookmark
Record
: found
Abstract
: not found
Conference Proceedings
: not found
Design of the 2015 ChaLearn AutoML challenge
Isabelle Guyon
,
Kristin Bennett
,
Gavin Cawley
…
(2015)
0
comments
Cited
16
times
– based on
0
reviews
Bookmark
All references
Author and book information
Book Chapter
Publication date (Print):
2021
Publication date (Online):
April 01 2021
Pages
: 729-744
DOI:
10.1007/978-3-030-72699-7_46
SO-VID:
460a2ed2-f796-4d02-ad90-f483f3436171
History
Data availability:
Comments
Comment on this book
Sign in to comment
Book chapters
pp. 3
On Restricting Real-Valued Genotypes in Evolutionary Algorithms
pp. 17
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions
pp. 34
Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment
pp. 50
Multi-objective Workforce Allocation in Construction Projects
pp. 65
Generating Duplex Routes for Robust Bus Transport Network by Improved Multi-objective Evolutionary Algorithm Based on Decomposition
pp. 81
Combining Multi-objective Evolutionary Algorithms with Deep Generative Models Towards Focused Molecular Design
pp. 97
A Multi-objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems
pp. 113
Evolutionary Grain-Mixing to Improve Profitability in Farming Winter Wheat
pp. 130
Automatic Modular Design of Behavior Trees for Robot Swarms with Communication Capabilites
pp. 146
Salp Swarm Optimization Search Based Feature Selection for Enhanced Phishing Websites Detection
pp. 162
Real Time Optimisation of Traffic Signals to Prioritise Public Transport
pp. 178
Adaptive Covariance Pattern Search
pp. 194
Evaluating the Success-History Based Adaptive Differential Evolution in the Protein Structure Prediction Problem
pp. 210
Beyond Body Shape and Brain: Evolving the Sensory Apparatus of Voxel-Based Soft Robots
pp. 227
Desirable Objective Ranges in Preference-Based Evolutionary Multiobjective Optimization
pp. 242
Improving Search Efficiency and Diversity of Solutions in Multiobjective Binary Optimization by Using Metaheuristics Plus Integer Linear Programming
pp. 258
Automated, Explainable Rule Extraction from MAP-Elites Archives
pp. 275
EDM-DRL: Toward Stable Reinforcement Learning Through Ensembled Directed Mutation
pp. 291
Continuous Ant-Based Neural Topology Search
pp. 309
Playing with Dynamic Systems - Battling Swarms in Virtual Reality
pp. 325
EvoCraft: A New Challenge for Open-Endedness
pp. 341
A Profile-Based ‘GrEvolutionary’ Hearthstone Agent
pp. 359
Modelling Asthma Patients’ Responsiveness to Treatment Using Feature Selection and Evolutionary Computation
pp. 373
Bayesian Networks for Mood Prediction Using Unobtrusive Ecological Momentary Assessments
pp. 388
A Multi-objective Multi-type Facility Location Problem for the Delivery of Personalised Medicine
pp. 407
RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-layer Neural Networks
pp. 421
Estimation of Grain-Level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 Using Genetic Programming
pp. 437
EDA-Based Optimization of Blow-Off Valve Positions for Centrifugal Compressor Systems
pp. 453
3D-2D Registration Using X-Ray Simulation and CMA-ES
pp. 469
Lateralized Approach for Robustness Against Attacks in Emotion Categorization from Images
pp. 489
Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification
pp. 506
Deep Optimisation: Multi-scale Evolution by Inducing and Searching in Deep Representations
pp. 522
Evolutionary Planning in Latent Space
pp. 537
Utilizing the Untapped Potential of Indirect Encoding for Neural Networks with Meta Learning
pp. 552
Effective Universal Unrestricted Adversarial Attacks Using a MOE Approach
pp. 568
Improving Distributed Neuroevolution Using Island Extinction and Repopulation
pp. 584
An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution
pp. 601
Towards Feature-Based Performance Regression Using Trajectory Data
pp. 618
Demonstrating the Evolution of GANs Through t-SNE
pp. 634
Optimising Diversity in Classifier Ensembles of Classification Trees
pp. 649
WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets
pp. 665
Evolving Character-Level DenseNet Architectures Using Genetic Programming
pp. 681
Transfer Learning for Automated Test Case Prioritization Using XCSF
pp. 697
On the Effects of Absumption for XCS with Continuous-Valued Inputs
pp. 714
A NEAT Visualisation of Neuroevolution Trajectories
pp. 729
Evaluating Models with Dynamic Sampling Holdout
pp. 747
Event-Driven Multi-algorithm Optimization: Mixing Swarm and Evolutionary Strategies
pp. 763
TensorGP – Genetic Programming Engine in TensorFlow
pp. 781
A Novel Evolutionary Approach for IoT-Based Water Contaminant Detection
pp. 795
Evolutionary Algorithms for Roughness Coefficient Estimation in River Flow Analyses
pp. 812
EA-Based ASV Trajectory Planner for Pollution Detection in Lentic Waters
Similar content
2,683
Estimating the Holdout Problem in Land Assembly
Authors:
Chris Cunningham
The cyclical behavior of holdout durations
Authors:
Jan C van Ours
Dynamic Quality Ladder Model Predictions in Nonrandom Holdout Samples
Authors:
Linli Xu
,
Jorge Silva-Risso
,
Kenneth Wilbur
See all similar