124 search results - page 17 / 25 » Cross-Situational Learning: A Mathematical Approach |
89
Voted
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
104
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APGV
2004
ACM
15 years 2 months ago
2004
ACM
Motivated by the need for an informative, unbiased and quantitative perceptual method for the development and evaluation of a talking head we are developing, we propose a new test...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
106
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ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
This paper examines the problem of moving object detection. More precisely, it addresses the difficult scenarios where background scene textures in the video might change over tim...
AAAI
2007
14 years 11 months 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....