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121
Voted
PR
2007
15 years 3 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
135
Voted
PKDD
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
199
Voted
ICDE
1998
IEEE
16 years 5 months ago
1998
IEEE
Algebraic transformation and optimization techniques have been the method of choice in relational query execution, but applying them in OODBMS is difficult due to the complexity o...
145
Voted
BMVC
2010
15 years 1 months ago
2010
This paper deals with the problem of estimating structure of 3D scenes and image transformations from observations that are blurred due to unconstrained camera motion. Initially, ...
166
Voted
ICRA
2010
IEEE
15 years 2 months ago
2010
IEEE
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...