Labels strengthen motor learning of new tools

on the comparison of keyword and semantic-context methods of learning new vocabulary meaning

the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...

New tools for unsupervised learning

Discourse continuity promotes children's learning of new objects labels

The present study examined the influence of continuity of reference (i.e., discourse continuity) on children’s learning of new objects labels. Four-year-old children were taught three new label/objects pairs, where the speaker’s references to objects were either continuous (i.e., clusters of utterances referred to the same object) or discontinuous (i.e., no two sequential sentences referred to ...

Learning with Multiple Labels

In this paper, we study a special kind of learning problem in which each training instance is given a set of (or distribution over) candidate class labels and only one of the candidate labels is the correct one. Such a problem can occur, e.g., in an information retrieval setting where a set of words is associated with an image, or if classes labels are organized hierarchically. We propose a nov...

Learning on Probabilistic Labels

Classification is a fundamental topic in the literature of data mining and all recent hot topics like active learning and transfer learning all rely on the concept of classification. Probabilistic information becomes more prevalent nowadays and can be found easily in many applications like crowdsourcing and pattern recognition. In this paper, we focus on a dataset which contains probabilistic i...