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» Active Learning with Statistical Models
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ICML
2006
IEEE
16 years 2 months ago
Active sampling for detecting irrelevant features
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo...
AIED
2005
Springer
15 years 7 months ago
Engagement tracing: using response times to model student disengagement
Time on task is an important predictor for how much students learn. However, students must be focused on their learning for the time invested to be productive. Unfortunately, stude...
Joseph E. Beck
125
Voted
HRI
2010
ACM
15 years 7 months ago
Transparent active learning for robots
—This research aims to enable robots to learn from human teachers. Motivated by human social learning, we believe that a transparent learning process can help guide the human tea...
Crystal Chao, Maya Cakmak, Andrea Lockerd Thomaz
ECML
2005
Springer
15 years 7 months ago
Active Learning in Partially Observable Markov Decision Processes
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Robin Jaulmes, Joelle Pineau, Doina Precup
CHI
2007
ACM
16 years 2 months ago
Toolkit support for developing and deploying sensor-based statistical models of human situations
Sensor-based statistical models promise to support a variety of advances in human-computer interaction, but building applications that use them is currently difficult and potentia...
James Fogarty, Scott E. Hudson