Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: A Scaling Law for the Validation-Set Training-Set Size Ratio
What Size Test Set Gives Good Error Rate Estimates?
A General Lower Bound on the Number of Examples Needed for Learning
Estimating the Maximum Expected Value: An Analysis of (Nested) Cross Validation and the Maximum Sample Average
On Validation Setup for Multiclass Imbalanced Data Sets
Memory limitations alone do not lead to over-regularization: An experimental and computational investigation
Fast Cross-Validation for Incremental Learning
On Bias , Variance , 0 / 1-Loss , and the Curse-of-Dimensionality
On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
A bias correction for the minimum error rate in cross-validation
Distribution-Balanced Stratified Cross-Validation for Accuracy Estimation
Improvements on Cross-Validation: The 632+ Bootstrap Method
Analysis of new techniques to obtain quality training sets
Smallify: Learning Network Size while Training
Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds
Is Cross-Validation Valid for Small-Sample Microarray Classification?
Precision-Recall versus Accuracy and the Role of Large Data Sets
A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets
On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed
On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
Some statistical issues in the comparison of speech recognition algorithms
Satisfaction with life and with food-related life in central Chile.
Pattern of invasion by Weed Shiner (Notropis texanus), a nonindigenous cyprinid in the Bear Creek system (Tennessee River drainage), USA
An algorithm of pornographic image detection
Keyword search in databases: the power of RDBMS