Interactive Elicitation for a Majority Sorting Model with Maximum Margin optimization

The use of our new cost function has allowed to increase the performances of the pre-network as compared to the standard mean squared error : the false alarm is reduced by 20 % (on

The goal of this paper is to present a survey of the concepts needed to under- stand the novel Max-Margin Markov Networks (M 3 -net) framework, a new formalism invented by

to overcome this issue, we proposed a transparent solution based on extending the input problem with two different sorting networks: the sequential counter circuit and the

A characterization by optimization of the orthocenter of a triangle Jean-Baptiste Hiriart-Urruty & Pierre-Jean Laurent.. “Nothing in the world takes place without optimization,

Our goal is, on one hand, to write down explicit first and second order optimality conditions for general 2-dimensional shape optimization problems with convexity con- straint and,

In this paper, we adopt a global (in space) point of view, and aim at obtaining uniform estimates, with respect to initial data and to the blow-up points, which improve the results

We presented a new family of lvm s called m 3 e models that predict the output of a given input as the one that results in the minimum R´enyi entropy of the cor- responding

For each prior, the red solid line represents the number of posterior class a misclassifications (trials that conclude that the difference between arms is Unacceptable, while it is