36 search results - page 6 / 8 » Improving discriminative sequential learning with rare--but-... |
140
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CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
...
115
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PAMI
2002
14 years 11 months ago
2002
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The qua...
94
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CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
Current methods for learning visual categories work well when a large amount of labeled data is available, but can run into severe difficulties when the number of labeled examples...
AIED
2007
Springer
15 years 5 months ago
2007
Springer
We investigated the potential of automatic detection of a learner’s affective states from posture patterns and dialogue features obtained from an interaction with AutoTutor, an i...
106
Voted
IJCNN
2008
IEEE
15 years 6 months ago
2008
IEEE
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...