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» Learning and Design of Principal Curves
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SIGUCCS
2000
ACM
14 years 3 months ago
Self-paced Student Tutorial in the WebCT Environment
This poster session will provide an overview of a newly developed, and still evolving, web-based, interactive tutorial designed to expedite the learning curve for students require...
Deborah Mateik
ICML
2006
IEEE
14 years 11 months ago
The relationship between Precision-Recall and ROC curves
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, when dealing with highly skewed datas...
Jesse Davis, Mark Goadrich
ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
14 years 4 months ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
14 years 2 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
CVPR
1999
IEEE
15 years 26 days ago
Shape from Recognition and Learning: Recovery of 3-D Face Shapes
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...
Dibyendu Nandy, Jezekiel Ben-Arie