Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning.
Ivan GlasserRyan SwekeNicola PancottiJens EisertJ. Ignacio CiracPublished in: CoRR (2019)
Keyphrases
- hidden markov models
- expressive power
- probabilistic modeling
- machine learning
- query language
- probabilistic model
- first order logic
- conditional random fields
- sequential data
- network structure
- discriminative training
- information extraction
- learning algorithm
- baum welch
- higher order
- text mining
- artificial intelligence
- model selection
- bayesian inference
- computational biology
- finite automata
- expert systems
- database systems