Previous research shows that people can acquire an impressive number of word-referent pairs after viewing a series of ambiguous trials by accumulating co-occurrence statistics (e.g., Yu & Smith, 2006). The present study extends the cross-situational word learning paradigm, which has previously dealt only with noun acquisition, and shows that humans can concurrently acquire nouns and adjectives ...

The ambiguous-cue problem is deceptively simple. It involves two concurrently trained simultaneous discriminations (known as PA and NA trials), but only three stimuli. Stimulus A is common to both discriminations, but serves as non-reinforced stimulus (S-) on PA trials and as reinforced stimulus (S+) on NA trials. Typically, animals' accuracy is lower on PA trials-the ambiguous-cue effect. We c...

A dual structural fused system consists of replaceable ductile elements (fuses) that sustain major seismic damage and leave the primary structure (PS) virtually undamaged. The seismic performance of a fused structural system is determined by the combined behavior of the individual PS and fuse components. In order to design a feasible and economic structural fuse concept, we need a procedure to ...

With the growing use of Natural Language Processing (NLP) techniques for information extraction and concept indexing in the biomedical domain, a method that quickly and efficiently assigns the correct sense of an ambiguous biomedical term in a given context is needed concurrently. The current status of word sense disambiguation (WSD) in the biomedical domain is that handcrafted rules are used b...

It is well known that most of Breast cancer diagnosis characterization processes are entirely based on physician’s intuition and experience. Since diagnosis of breast cancer involves several layers of uncertainty and imprecision that makes traditional approaches inappropriate. In the present research paper a soft computing diagnostic support system for breast cancer is proposed which is capable...

In recent years, because CCD cameras have become inexpensive and ever more prevalent, there has been increasing interest in modelling human shape and motion from acquired image data. Such ability has many applications, such as entertainment, sports medicine/athletic training, and biometry. This, however, is an inherently difficult task, both because the body is very complex and because the data...