In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

Abstract: Multi-label classification is a popular learning task. However, some of the algorithms that learn from multi-label data, can only output a score for each label, so they cannot be readily ...

This one-vector mapping is insufficient to represent the nodes’ attribution in those extensively existed networks whose nodes’ have multiple labels. In this paper, we present MEMN, a novel approach of ...

Multi-channel Signed Distance Field fonts allow you to prepare and load just one font file and render it in any scale you want, while mantaining the quality and cripsness of the original texture, as ...

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This context is of extreme importance while disambiguating word senses.Sense2vec aims to solve this problem by generating contextually-keyed word vectors (i.e one vector for each sense of the word. We ...

You are right. Doing some arithmetic operation on several vectors with differing labels means that the new variable can't have a default label and the old "keep the first label" is not ...