Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Learning k for kNN Classification
KNN-CF Approach: Incorporating Certainty Factor to kNN Classification
An Improved k-Nearest Neighbor Algorithm for Text Categorization
A Fast KNN Algorithm for Text Categorization
A k-nearest neighbor based algorithm for multi-label classification
K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms
Impact of the Sakoe-Chiba Band on the DTW Time-Series Distance Measure for kNN Classification
Online learning with kernels
Using kNN Model for Automatic Feature Selection
An introduction to kernel-based learning algorithms
Fast Approximate k NN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection
Distance Metric Learning for Kernel Machines
comparison of naive basian and k - nn classifier .
Cluster kernels for semi-supervised learning
Fast k-Means Based on k-NN Graph
A new k-harmonic nearest neighbor classifier based on the multi-local means
Scalable Kernel Density Classification via Threshold-Based Pruning
learning with kernels .
k-Nearest Neighbor Classification Algorithm for Multiple Choice Sequential Sampling
Random KNN feature selection - a fast and stable alternative to Random Forests
Nearest Neighbor Pattern Classification
Sparse Matrix-Vector Multiplication on GPGPUs
External Patch Prior Guided Internal Clustering for Image Denoising
15-dB differential link-loss UDWDM-PON with direct beat phase modulated DFBs
Cowden syndrome.
gSpan: graph-based substructure pattern mining