Introduction to “Efficient local updates for undirected graphical models” by F. Stingo, G. Marchetti
نویسندگان
چکیده
منابع مشابه
Undirected Graphical Models
Read: Chapters 5 and 6 of [CGH]. The first model for a joint probability distribution that we will consider is the undirected graph. We will undirected graphs using two different methods. First, we will show the relationship between undirected graphs and joint probability distributions. Second, we will show the relationship between undirected graphs, and an abstract independence model (called a...
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CRFs are discriminative undirected models which are globally normalized. Global normalization preserves CRFs from the label bias problem which most local models suffer from. Recently proposed co-occurrence rate networks (CRNs) are also discriminative undirected models. In contrast to CRFs, CRNs are locally normalized. It was established that CRNs are immune to the label bias problem even they a...
متن کاملIntroduction to Graphical Models
Two real-valued or vector-valued random variables X, Y are independent for probability measure P (written: X ⊥ Y [P ]) if for all sets A and B, P[X ∈ A, Y ∈ B] = P[X ∈ A] · P[Y ∈ B]. For jointly discrete or jointly continuous random variables this is equivalent to factoring of the joint probability mass function or probability density function, respectively. The variables X and Y are conditiona...
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Graphical models have widespread uses in information extraction and natural language processing. Recent improvements in approximate inference techniques [1, 2, 3, 4] have allowed exploration of dense models over a large number of variables. These applications include coreference resolution [5, 6], relation extraction [7], and joint inference [8, 9, 10]. But as the graphs grow to web scale, even...
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ژورنال
عنوان ژورنال: Statistics and Computing
سال: 2014
ISSN: 0960-3174,1573-1375
DOI: 10.1007/s11222-014-9531-8