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» Neural conditional random fields
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TSP
2010
13 years 3 months ago
Randomized and distributed self-configuration of wireless networks: two-layer Markov random fields and near-optimality
Abstract--This work studies the near-optimality versus the complexity of distributed configuration management for wireless networks. We first develop a global probabilistic graphic...
Sung-eok Jeon, Chuanyi Ji
NIPS
2008
13 years 10 months ago
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
Randomized neural networks are immortalized in this well-known AI Koan: In the days when Sussman was a novice, Minsky once came to him as he sat hacking at the PDP-6. "What a...
Ali Rahimi, Benjamin Recht
ICANN
2005
Springer
14 years 2 months ago
Can Dynamic Neural Filters Produce Pseudo-Random Sequences?
Abstract. Dynamic neural filters (DNFs) are recurrent networks of binary neurons. Under proper conditions of their synaptic matrix they are known to generate exponentially large c...
Yishai M. Elyada, David Horn
ICDAR
2005
IEEE
14 years 2 months ago
Learning Diagram Parts with Hidden Random Fields
Many diagrams contain compound objects composed of parts. We propose a recognition framework that learns parts in an unsupervised way, and requires training labels only for compou...
Martin Szummer
WSC
2008
13 years 11 months ago
Efficient simulation for tail probabilities of Gaussian random fields
We are interested in computing tail probabilities for the maxima of Gaussian random fields. In this paper, we discuss two special cases: random fields defined over a finite number...
Robert J. Adler, Jose Blanchet, Jingchen Liu