Kernel distance measures for time series, random fields and other structured data.
Srinjoy DasHrushikesh N. MhaskarAlexander CloningerPublished in: CoRR (2021)
Keyphrases
- structured data
- random fields
- distance measure
- dynamic time warping
- non stationary
- graph kernels
- reproducing kernel hilbert space
- tree kernels
- conditional random fields
- markov random field
- histogram intersection
- information extraction
- maximum entropy
- parameter estimation
- similarity measure
- euclidean distance
- data sources
- unstructured data
- edit distance
- kernel function
- distance function
- probabilistic model
- metadata
- real valued time series
- xml documents
- support vector
- data mining
- kernel methods
- marginal distributions
- kernel machines
- data sets
- model selection
- maximum likelihood
- higher order
- feature space
- databases