On the Information Theoretic Limits of Learning Ising Models.
Rashish TandonKarthikeyan ShanmugamPradeep RavikumarAlexandros G. DimakisPublished in: NIPS (2014)
Keyphrases
- information theoretic
- information bottleneck
- mutual information
- information theory
- theoretic framework
- prior knowledge
- learning algorithm
- log likelihood
- model selection
- probabilistic model
- pattern recognition
- data mining
- parameter estimation
- relational data
- random fields
- relational learning
- feature space
- kullback leibler divergence
- multi modality
- relative entropy
- entropy measure