query: Difference between Kernel classifier and linear classifier
positive_passages.docid: 153261
positive_passages.text: Linear kernel and non-linear kernel for support vector machine?
negative_passages.docid: 9075
negative_passages.text: What is difference between User space and Kernel space?
negative_passages.docid: 119274
negative_passages.text: How to select kernel for SVM?
negative_passages.docid: 64142
negative_passages.text: Use of circular predictors in linear regression
negative_passages.docid: 156390
negative_passages.text: Gradient Boosting for Linear Regression - why does it not work?
negative_passages.docid: 136012
negative_passages.text: why boosting method is sensitive to outliers
negative_passages.docid: 13545
negative_passages.text: RBF kernel mapping
negative_passages.docid: 78385
negative_passages.text: Why with two classes, LDA gives only one dimension?
negative_passages.docid: 40236
negative_passages.text: SVM - hard or soft margins?
negative_passages.docid: 26149
negative_passages.text: Logistic regression vs. LDA as two-class classifiers
negative_passages.docid: 154304
negative_passages.text: Do PCA affect different classification methods?
negative_passages.docid: 116672
negative_passages.text: Why is logistic regression a linear classifier?
negative_passages.docid: 113987
negative_passages.text: Kernels and reduced row echelon form - explanation
negative_passages.docid: 469
negative_passages.text: What is the difference between logistic regression and neural networks?
negative_passages.docid: 126666
negative_passages.text: Raw data outperforms Z-score transformed data in SVM classification
negative_passages.docid: 142784
negative_passages.text: For linear classifiers, do larger coefficients imply more important features?
negative_passages.docid: 26665
negative_passages.text: When does the kernel of a function equal the image?