ABSTRACT WINNER: BASIC SCIENCE CATEGORY

Abstract category learning

Category Learning Atsushi Hashimoto and Haruo Hosoya Department of Computer Science The University of Tokyo 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan Abstract. Motivated by a neurophysiological experiment on prefrontal cortex, we study a scheme for learning abstract categories. An abstract category represents a set of vectors that are identical to each other modulo substitution, e.g., ’ABAB’, ’BABA’...

Basic Facts for Basic Science

Overall, this outstanding text should soon become recognized as the definitive reference for the diagnosis and management of ocular trauma. The tall, narrow shape of Basic Facts for Basic Science suggests that perhaps the author intended that it be put into the pocket of one's lab coat; perhaps not, but this book is certainly appropriate for the shelf of any laboratory and for the office of any...

How basic is basic science?

Some other possible conclusions come easily to mind. Perhaps, if we’re really concerned about students’ learning evidence-based medicine, then we should teach it more or better. On the other hand I am one of many who have joined the anti-EBM movement (Norman 1999). In my view, the fundamental irony remains that, even though it made the BMJ’s ‘‘Top 15 Medical Innovations of all Time’’ list in 20...

Basic Science

Sanremo's Winner Is... Category-driven Selection Strategies for Active Learning

English. This paper compares Active Learning selection strategies for sentiment analysis of Twitter data. We focus mainly on category-driven strategies, which select training instances taking into consideration the confidence of the system as well as the category of the tweet (e.g. positive or negative). We show that this combination is particularly effective when the performance of the system ...