6715 search results - page 92 / 1343 » Learning from a Test Set |
AAAI
2007
15 years 8 days ago
2007
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
EUROGP
2009
Springer
15 years 4 months ago
2009
Springer
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
104
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ACML
2009
Springer
15 years 4 months ago
2009
Springer
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited per...
101
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ECIR
2009
Springer
14 years 7 months ago
2009
Springer
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
ICIAP
2007
ACM
15 years 10 months ago
2007
ACM
In this paper, we address the relatively unexplored problem of classifying texture surfaces undergoing significant levels of non-rigid deformation. State-of-the-art texture classi...