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MCS
2009
Springer
15 years 11 months ago
Incremental Learning of Variable Rate Concept Drift
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Ryan Elwell, Robi Polikar
EDUTAINMENT
2006
Springer
15 years 10 months ago
Effects of Guided and Unguided Style Learning on User Attention in a Virtual Environment
Abstract. In this paper, we investigated the effects of guided and unguided style VR learning on user attention and retained knowledge. We conducted a study where users performed g...
Jayoung J. Goo, Kyoung Shin Park, Moonhoen Lee, Ji...
EDM
2008
193views Data Mining» more  EDM 2008»
15 years 8 months ago
Can we predict which groups of questions students will learn from?
In a previous study ([4]), we used the ASSISTment system to track student knowledge longitudinally over the course of a schools year, based upon each student using our system about...
Mingyu Feng, Neil T. Heffernan, Joseph E. Beck, Ke...
INTERACT
2007
15 years 8 months ago
Interactive Floor Support for Kinesthetic Interaction in Children Learning Environments
Abstract. This paper introduces a novel kinesthetic interaction technique for interactive floors. The interaction techniques utilize vision-based limb tracking on an interactive fl...
Kaj Grønbæk, Ole Sejer Iversen, Karen...
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ICCV
2009
IEEE
16 years 11 months ago
Which Faces to Tag: Adding Prior Constraints into Active Learning
We introduce an algorithm that guides the user to tag faces in the best possible order during a face recognition assisted tagging scenario. In particular, we extend the active l...
Ashish Kapoor, Gang Hua, Amir Akbarzadeh and Simon...