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» Observations and lessons learned from automated testing
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ICML
2010
IEEE
13 years 8 months ago
Efficient Learning with Partially Observed Attributes
We describe and analyze efficient algorithms for learning a linear predictor from examples when the learner can only view a few attributes of each training example. This is the ca...
Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, O...
HICSS
2005
IEEE
142views Biometrics» more  HICSS 2005»
14 years 1 months ago
Measuring Information Understanding in Large Document Collections
We present a method for testing subject’s performance in a realistic (end-to-end) information understanding task— rapid understanding of large document collections—and discu...
Malcolm Slaney, Daniel M. Russell
TAICPART
2006
IEEE
134views Education» more  TAICPART 2006»
14 years 1 months ago
Integration Testing of Components Guided by Incremental State Machine Learning
The design of complex systems, e.g., telecom services, is nowadays usually based on the integration of components (COTS), loosely coupled in distributed architectures. When compon...
Keqin Li 0002, Roland Groz, Muzammil Shahbaz
JKM
2006
135views more  JKM 2006»
13 years 7 months ago
Learning from the Mars Rover Mission: scientific discovery, learning and memory
Purpose Knowledge management for space exploration is part of a multi-generational effort. Each mission builds on knowledge from prior missions, and learning is the first step in ...
Charlotte Linde
IFIP
2003
Springer
14 years 26 days ago
Testing Mobile Wireless Applications
A framework is described that can be used to build and test application-level software for wireless mobile computing. It emulates the physical mobility of wireless devices by usin...
Ichiro Satoh