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» Finding Structure in Reinforcement Learning
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CVPR
2008
IEEE
16 years 5 months ago
A hierarchical and contextual model for aerial image understanding
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...
ICML
2009
IEEE
16 years 4 months ago
Efficient Euclidean projections in linear time
We consider the problem of computing the Euclidean projection of a vector of length n onto a closed convex set including the 1 ball and the specialized polyhedra employed in (Shal...
Jun Liu, Jieping Ye
ICALT
2010
IEEE
15 years 4 months ago
Increasing Students In-Class Engagement through Public Commenting: An Exploratory Study
Student engagement is a pervasive and persistent goal for educators. In previous work we have reported that activities like public real-time commenting on videos can enhance studen...
Honglu Du, Hao Jiang, Mary Beth Rosson, John M. Ca...
143
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ACII
2011
Springer
14 years 3 months ago
Predicting Facial Indicators of Confusion with Hidden Markov Models
Affect plays a vital role in learning. During tutoring, particular affective states may benefit or detract from student learning. A key cognitiveaffective state is confusion, which...
Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Jame...
145
Voted
CACM
2008
101views more  CACM 2008»
15 years 3 months ago
Just say 'A Class Defines a Data Type'
data type and (Java) class, asking about the relationship between them. The same students would also be unlikely to find an answer in a CS1 textbook. Some textbooks might not even ...
Chenglie Hu