Zero-shot Learners are models capable of predicting unseen classes. In this work, we propose a Zero-shot Learning approach for text categorization. Our method involves training model on a large corpus of sentences to learn the relationship between a sentence and its tags. Learning such relationship makes the model generalize to unseen sentences, tags, and even new datasets provided they can be ...

This paper describes a novel classroom based project that looked at methods for sharing the contributions of students during activities in undergraduate classes. Initially intended for HCI students, the CRaSh product has wide applicability for creative use of class time and for inspiring students in their design work. The method employed was a prototype interface that allowed the sharing of dig...

pposites really do attract. Results on page 101 by Oliveria et al. show that, although they perform opposing functions, a kinase and a phosphatase linked to synaptic plasticity are close neighbors at the plasma membrane. The two are brought together by the scaffolding protein AKAP79 into a complex that may be important for efficient learning. The close proximity of the three proteins is uncover...

Penalty (mean-drop) analysis is used by market researchers and product developers to gain an understanding of the product attributes that most affect liking, purchase interest or any other product-related measure. Product attributes used in penalty analysis are measured with “Just -about-right” (JAR) scales. These are categorical scales in which some points represent “too little” of a particula...

This paper considers the following sequence shu ing problem Given a biological sequence either DNA or protein s generate a random instance among all the permutations of s that exhibit the same frequencies of k lets e g dinucleotides doublets of amino acids triplets etc Since certain biases in the usage of k lets are fundamental to biological sequences e ective generation of such sequences is es...