In this paper, we present the canonical ssRBM framework together with some extensions. These extensions highlight the flexibility of the spike-and-slab RBM as a ...
Jul 29, 2014 · The ssRBM joint distribution has the very important property that it cor- responds to the standard RBM bipartite graph structure with the ...
The Spike-and-Slab RBM and Extensions to Discrete and Sparse ...
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The spike-and-slab restricted Boltzmann machine (ssRBM) is defined to have both a real-valued “slab” variable and a binary “spike” variable associated with ...
In this paper, we present the canonical ssRBM framework together with some extensions. These extensions highlight the flexibility of the spike-and-slab RBM as a ...
In this paper, we show how the introduction of the slab variables to the GRBM leads to an interesting new RBM. By marginalizing out the slab variables, the ...
The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 1874-87 ...
Bengio, “The spike-and-slab RBM and extensions to discrete and sparse data distributions,” IEEE Tr. PAMI, vol. 36, no. 9, pp. 1874–1887, 2014. [4] Y. Bengio ...
Oct 22, 2024 · We introduce the spike and slab Restricted Boltzmann Machine, characterized by having both a real-valued vector, the slab, and a binary ...
This work introduces a new feature learning and extraction procedure based on a factor model the authors call spike-and-slab sparse coding (S3C), ...
Aug 28, 2016 · We can think of the distribution presented in equations 2 and 1, as being associated with the bipartite graph structure of the RBM with the ...
Missing: Extensions Discrete Sparse