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» Predictive Hebbian Learning
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142
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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...
CVPR
2009
IEEE
16 years 10 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
112
Voted
IJCNN
2007
IEEE
15 years 9 months ago
Predicting Spike Activity in Neuronal Cultures
be regarded as an abstraction of the underlying effective network connectivity, i.e. its functional connectivity. Although similar functional connectivity models have been describe...
Tayfun Gürel, Ulrich Egert, Steffen Kandler, ...
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
15 years 8 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
111
Voted
IJMMS
2007
145views more  IJMMS 2007»
15 years 3 months ago
Automatic prediction of frustration
Predicting when a person might be frustrated can provide an intelligent system with important information about when to initiate interaction. For example, an automated Learning Co...
Ashish Kapoor, Winslow Burleson, Rosalind W. Picar...