From canon to context

Big Data Quality: From Content to Context

Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data...

Lloyd Morgan ' s Canon FROM : Greenberg , G

"Perhaps the most quoted statement in the history of comparative psychology is Lloyd Morgan's canon" (Dewsbury, 1984, p. 187). To this it can be added that perhaps the most misrepresented statement in the history of comparative psychology is Lloyd Morgan's canon. Apparently a version of Morgan's canon was first published in 1892 (Dixon, 1892; Morgan, 1892). However, the most cited version of th...

Canon-log Transfer Characteristic

TokyoTech + Canon at TRECVID 2011

The aim of this section is to develop a high-performance semantic indexing system using Gaussian mixture model (GMM) supervectors and tree-structured GMMs [1, 2]. GMM spervectors corresponding to six types of audio and visual features are extracted from video shots by using tree-structured GMMs. The computational cost of maximum a posteriori (MAP) adaptation for estimating GMM parameters are re...

: examining l2 teachers’ corrective feedback types in relation to learners’ uptake, proficiency levels, and context types

abstract this study investigates the teachers’ correction of students’ spoken errors of linguistic forms in efl classes, aiming at (a) examining the relationship between the learners’ proficiency level and the provision of corrective feedback types, (b) exploring the extent to which teachers’ use of different corrective feedback types is related to the immediate types of context in which err...