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» When Can Formal Methods Make a Real Difference
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ICPR
2002
IEEE
14 years 1 months ago
Tangent Distance Kernels for Support Vector Machines
When dealing with pattern recognition problems one encounters different types of a-priori knowledge. It is important to incorporate such knowledge into the classification method ...
Bernard Haasdonk, Daniel Keysers
GANDC
2011
105views more  GANDC 2011»
12 years 8 months ago
Adjacent versus coincident representations of geospatial uncertainty: Which promote better decisions?
3D geological models commonly built to manage natural resources are much affected by uncertainty because most of the subsurface is inaccessible to direct observation. Appropriate ...
Thomas Viard, Guillaume Caumon, Bruno Lévy
NIPS
2007
13 years 10 months ago
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations
In transfer learning we aim to solve new problems using fewer examples using information gained from solving related problems. Transfer learning has been successful in practice, a...
M. M. Mahmud, Sylvian R. Ray
CASES
2006
ACM
14 years 2 months ago
Automatic performance model construction for the fast software exploration of new hardware designs
Developing an optimizing compiler for a newly proposed architecture is extremely difficult when there is only a simulator of the machine available. Designing such a compiler requ...
John Cavazos, Christophe Dubach, Felix V. Agakov, ...
CACM
2002
106views more  CACM 2002»
13 years 8 months ago
Testing and demonstrating context-aware services with Quake III Arena
Developers of context-aware services, i.e. services that make use of sensory information from the environment of their users, often find testing and demonstrating services to be di...
Markus Bylund, Fredrik Espinoza