Scaling up Kernel Ridge Regression via Locality Sensitive Hashing.
Michael KapralovNavid NouriIlya P. RazenshteynAmeya VelingkerAmir ZandiehPublished in: CoRR (2020)
Keyphrases
- locality sensitive hashing
- kernel ridge regression
- kernel methods
- gradient boosting
- similarity search
- parameter selection
- nearest neighbor search
- brute force
- nearest neighbor
- hash functions
- metric space
- range queries
- knn
- sift features
- multimedia retrieval
- indexing techniques
- hamming distance
- k nearest neighbor
- database
- machine learning
- kernel function
- data structure
- data sets
- euclidean distance
- data model