Approximating Bayesian inference with a sparse distributed memory system

Keyphrases

• Probabilistic Model 100%
• Bayesian Inference 100%
• Distributed Memory System 100%
• Sparse Distributed Memory 100%
• Monte Carlo Method 50%
• Cognitive Processes 50%
• Inductive Inference 50%
• Memory Systems 50%
• Human Mind 50%
• Reconstruction Problem 50%
• Level Model 50%
• Associative Memory 50%
• Algorithmic Level 50%
• Computational Level 50%
• Approximate Bayesian Inference 50%
• Structured Representation 50%
• Probabilistic Models of Cognition 50%
• Property Induction 50%
• Importance Sampler 50%
• Sparse Distributed Representations 50%
• Neural Processes 50%

Computer Science

• Distributed Memory 100%
• Memory System 100%
• Case Study 50%
• Structured Representation 50%
• Computational Level 50%
• Importance Sampler 50%
• Associative Memory 50%

Psychology

• Memory System 100%
• Case Study 50%