Learning by message passing in networks of discrete synapses.
about
Collective Influence Algorithm to find influencers via optimal percolation in massively large social mediaPerturbation biology: inferring signaling networks in cellular systemsClustering by soft-constraint affinity propagation: applications to gene-expression data.Optimal learning rules for discrete synapsesInference of sparse combinatorial-control networks from gene-expression data: a message passing approach.Efficient data compression from statistical physics of codes over finite fields.Passing messages between biological networks to refine predicted interactions.Collaboration in social networksEfficient supervised learning in networks with binary synapses.The Edge-Disjoint Path Problem on Random Graphs by Message-Passing.Unsupervised feature learning from finite data by message passing: Discontinuous versus continuous phase transition.Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes.Statics and Dynamics of Selfish Interactions in Distributed Service SystemsGene regulatory network inference using out of equilibrium statistical mechanics.Are binary synapses superior to graded weight representations in stochastic attractor networks?Improved contact prediction in proteins: using pseudolikelihoods to infer Potts models.Mean-field message-passing equations in the Hopfield model and its generalizations.Learning may need only a few bits of synaptic precision.Efficiency of quantum vs. classical annealing in nonconvex learning problems.Performance of a cavity-method-based algorithm for the prize-collecting Steiner tree problem on graphs.Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses.Origin of the computational hardness for learning with binary synapses.Distance measures and evolution of polymer chains in their topological space.Replication-based inference algorithms for hard computational problems.Counting solutions from finite samplings.Cavity approach to sphere packing in Hamming space.Analytical and belief-propagation studies of random constraint satisfaction problems with growing domains.Stochastic matching problem.Message passing algorithms for the Hopfield network reconstruction: threshold behavior and limitation.Message passing for optimization and control of a power grid: model of a distribution system with redundancy.Inference by belief propagation in composite systems.Statistical mechanics of steiner trees.Entropy landscape and non-Gibbs solutions in constraint satisfaction problems.Inference by replication in densely connected systems.Circuit topology of linear polymers: a statistical mechanical treatmentStatistical physics of inference: thresholds and algorithms
P2860
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P2860
Learning by message passing in networks of discrete synapses.
description
2006 nî lūn-bûn
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2006年の論文
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2006年学术文章
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2006年学术文章
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2006年学术文章
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2006年学术文章
@zh-hans
2006年学术文章
@zh-my
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2006年學術文章
@zh-hant
name
Learning by message passing in networks of discrete synapses.
@en
Learning by message passing in networks of discrete synapses.
@nl
type
label
Learning by message passing in networks of discrete synapses.
@en
Learning by message passing in networks of discrete synapses.
@nl
prefLabel
Learning by message passing in networks of discrete synapses.
@en
Learning by message passing in networks of discrete synapses.
@nl
P2860
P1476
Learning by message passing in networks of discrete synapses.
@en
P2860
P304
P356
10.1103/PHYSREVLETT.96.030201
P407
P577
2006-01-25T00:00:00Z
P698
P818
cond-mat/0511159