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» Experimental perspectives on learning from imbalanced data
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IJCAI
2001
15 years 7 months ago
Active Learning for Structure in Bayesian Networks
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Simon Tong, Daphne Koller
CIKM
2009
Springer
16 years 4 days ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
CVPR
2010
IEEE
15 years 8 months ago
Learning 3D Shape from a Single Facial Image via Non-linear Manifold Embedding and Alignment
The 3D reconstruction of a face from a single frontal image is an ill-posed problem. This is further accentuated when the face image is captured under different poses and/or compl...
Xianwang Wang, Ruigang Yang
IJRR
2010
177views more  IJRR 2010»
15 years 4 months ago
Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain
Rough terrain autonomous navigation continues to pose a challenge to the robotics community. Robust navigation by a mobile robot depends not only on the individual performance of ...
David Silver, J. Andrew Bagnell, Anthony Stentz
IUI
2006
ACM
15 years 11 months ago
A hybrid learning system for recognizing user tasks from desktop activities and email messages
The TaskTracer system seeks to help multi-tasking users manage the resources that they create and access while carrying out their work activities. It does this by associating with...
Jianqiang Shen, Lida Li, Thomas G. Dietterich, Jon...