Boosting using strong learners
40520
In boosting, why are the learners "weak"?
98312
First Iteration in Gradient Boosting Algorithm
138225
Nested cross validation for model selection
45881
Methods to work around the problem of missing data in machine learning
138537
Training N classifiers for N labels vs one classifier with N labels
44881
Using lasso for feature selection, followed by a non-regularized regression
57585
Discovering new features
104182
regression for binary classification
79824
Varied Activation Functions in Neural Networks
66215
Training a decision tree against unbalanced data
142784
For linear classifiers, do larger coefficients imply more important features?
123751
Restrictions on the use of universal generalization
117722
Interplay between early stopping and cross validation
88516
Is dimensionality reduction almost always useful for classification?
97769
Ranking two models based on ROC-AUC and PR-AUC
136197
Normalizing the final weights vector in the upper bound on the Perceptron's convergence
25399
Predicting with both continuous and categorical features