Approximate inference in Boltzmann machines

DOI10.1016/S0004-3702(02)00361-2zbMath1011.68131OpenAlexW1985813166MaRDI QIDQ1853678

Max Welling, Yee Whye Teh

Publication date: 22 January 2003

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0004-3702(02)00361-2

zbMATH Keywords

inferenceloopy belief propagationBoltzmann machinesadvanced mean field methods

Mathematics Subject Classification ID

Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (14)

Simple method for inference in inverse Ising problem using full data ⋮ Parameter inference in a probabilistic model from data: regulation of transition rate in the Monte Carlo method ⋮ Cycle-based cluster variational method for direct and inverse inference ⋮ A noniterative solution to the inverse Ising problem using a convex upper bound on the partition function ⋮ Parameter inference in a probabilistic model using clustered data ⋮ Linear Response Algorithms for Approximate Inference in Graphical Models ⋮ On the Uniqueness of Loopy Belief Propagation Fixed Points ⋮ Beyond inverse Ising model: structure of the analytical solution ⋮ Spatio-temporal spike train analysis for large scale networks using the maximum entropy principle and Monte Carlo method ⋮ Approximate inverse Ising models close to a Bethe reference point ⋮ Latent binary MRF for online reconstruction of large scale systems ⋮ Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning ⋮ A density consistency approach to the inverse Ising problem ⋮ Belief propagation: accurate marginals or accurate partition function—where is the difference?

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• An introduction to variational methods for graphical models
• Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology
• CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation
• Statistical Physics of Spin Glasses and Information Processing
• Neural networks and physical systems with emergent collective computational abilities.

This page was built for publication: Approximate inference in Boltzmann machines