K-Dimensional Coding Schemes in Hilbert Spaces
k-NN Regression Adapts to Local Intrinsic Dimension
Kernel Bayes' rule
Kernel induced random survival forests
Kernel Regression by Mode Calculation of the Conditional Probability Distribution
Kernels for Measures Defined on the Gram Matrix of their Support
Kernels for Vector-Valued Functions: a Review
KNIFE: Kernel Iterative Feature Extraction
Kronecker Graphs: An Approach to Modeling Networks
Krylov Subspace Descent for Deep Learning
Kullback-Leibler aggregation and misspecified generalized linear models