Questions tagged [structured-svm]

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Example of a problem with structured output labels

I'm studying SSVM (Structured SVMs). On my book is stated that Structured SVM is an extension of the SVM, in which Each sample is assigned to a structured output label z ∈ K, e.g. partitions, ...
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434 views

How do the mapping function phi(x) of a RBF kernel?

I'm trying to implement a paper that used SVM and an improve of it with Bayesian decision theory. How do I do the mapping feature $\phi(x)$ that appears in the decision function? The paper used an ...
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173 views

How to learn a “complete order function” from a set of partial order relations?

Input: vector data x_1,...,x_n and a partial ranking function e..g r_p(x_1) > r_p(x_2). Output: a "complete order function" ...
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Query re. how to set up an SVM, which SVM variation … and how to define a metric

I’d like to learn how best set up a Support Vector Machine for my particular problem (or if indeed there is a more appropriate algorithm). My goal is to receive a weighting of how well an input set ...
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Good implementation of SVM with operator valued kernel

I've already come across the question Vector Valued SVM but the replies doesn't point to SVM with any operator-valued kernel. I understand that svm-struct can solve the same by solving an inference ...
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Confidence/credible intervals for parameter estimates from structured support vector machine

I am estimating parameters for a conditional random field using a structured support vector machine. The data consists of a flat graph of $i%$ city blocks, where $y_i$ is the assignment of the the $...
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189 views

Binary linear SVM in terms of structured SVM

On slide 32/85 of this tutorial on structured SVM learning, the author formulates binary SVM classification in terms of structured output SVM by defining $\Psi(x, y) = \frac{y}{2}x$. Why is there a ...