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» Guided Problem Diagnosis through Active Learning
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TEI
2009
ACM
78views Hardware» more  TEI 2009»
14 years 3 months ago
A short guide to modulated light
Many types of tangible interaction systems, such as interactive surfaces and gesture-based interfaces, are based on various kinds of optical tracking, using infrared illuminators ...
Florian Echtler, Tobias Sielhorst, Manuel Huber, G...
NN
1998
Springer
201views Neural Networks» more  NN 1998»
13 years 8 months ago
Neural mechanisms of selection and control of visually guided eye movements
The selection and control of action is a critical problem for both biological and machine animated systems that must operate in complex real world situations. Visually guided eye ...
Jeffrey D. Schall, Doug P. Hanes
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
14 years 3 months ago
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
Abstract -- Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies ...
Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li
ICASSP
2009
IEEE
14 years 3 months ago
Active learning for semi-supervised multi-task learning
We present an algorithm for active learning (adaptive selection of training data) within the context of semi-supervised multi-task classifier design. The semi-supervised multi-ta...
Hui Li, Xuejun Liao, Lawrence Carin
EELC
2006
121views Languages» more  EELC 2006»
14 years 11 days ago
Symbol Grounding Through Cumulative Learning
Abstract. We suggest that the primary motivation for an agent to construct a symbol-meaning mapping is to solve a task. The meaning space of an agent should be derived from the tas...
Samarth Swarup, Kiran Lakkaraju, Sylvian R. Ray, L...