Partial label learning aims to learn a multi-class classifier, where each training example corresponds set of candidate labels among which only one is correct. Most studies in the space have focused on difference between and non-candidate labels. So far, however, there has been little discussion about correlation partial learning. This paper begins with research correlation, followed by establi...

Regularization of (deep) learning models can be realized at the model, loss, or data level. As a technique somewhere in-between loss and data, label smoothing turns deterministic class labels into probability distributions, for example by uniformly distributing certain part mass over all classes. A predictive model is then trained on these distributions as targets, using cross-entropy function....

Information popularity and social relationships are intimately connected. However, measuring the extent to which they affect each other has remained an open question. Because we now have access to rich and large data sets from online social networks, we can begin to quantitatively understand the interplay between them. We examine the interface of two decisive structures forming the backbone of ...

Concept maps are graphical tools for organizing and representing knowledge. They include concepts, usually enclosed in circles or boxes of some type, and relationships between concepts indicated by a connecting line linking two concepts. Words on the line, referred to as linking words or linking phrases, specify the relationship between the two concepts. We define concept as a perceived regular...

In this work, we study how to extend the capability of BLSTM networks to process data which are not only text strings but graphical two-dimensional languages such as handwritten mathematical expressions. The proposed solution aims at transforming the mathematical expression description into a sequence including at the same time symbol labels and relationship labels, so that classical supervised...

Concept maps are graphical tools for organizing and representing knowledge. They include concepts, usually enclosed in circles or boxes of some type, and relationships between concepts indicated by a connecting line linking two concepts. Words on the line, referred to as linking words or linking phrases, specify the relationship between the two concepts. We define concept as a perceived regular...

In this paper a novel approach for improving automatic image annotation methods is proposed. The approach is based on the fact that accuracy of current image annotation methods is low if we look at the most confident label only. Instead, accuracy is improved if we look for the correct label within the set of the top−k candidate labels. We take advantage of this fact and propose a Markov random ...