KPCA Embeddings: An Unsupervised Approach to Learn Vector Representations of Finite Domain Sequences.
Eduardo BritoRafet SifaChristian BauckhagePublished in: LWDA (2017)
Keyphrases
- finite domain
- vector space
- feature vectors
- constraint programming
- constraint satisfaction problems
- constraint propagation
- dimensionality reduction
- kernel principal component analysis
- constraint logic programming
- constraint solving
- learning algorithm
- constraint satisfaction
- constraint solver
- satisfiability problem
- kernel methods
- probability distribution
- special case
- high dimensional
- feature space
- optimal solution