1091 search results - page 168 / 219 » Learning Models for Predicting Recognition Performance |
116
Voted
KDD
2007
ACM
16 years 3 months ago
2007
ACM
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
144
Voted
AAAI
2012
13 years 5 months ago
2012
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
121
Voted
ATAL
2006
Springer
15 years 6 months ago
2006
Springer
As agent systems are solving more and more complex tasks in increasingly challenging domains, the systems themselves are becoming more complex too, often compromising their adapti...
170
Voted
JMLR
2010
14 years 9 months ago
2010
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
130
Voted
ICDM
2008
IEEE
15 years 9 months ago
2008
IEEE
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...