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SDM
2008
SIAM
13 years 11 months ago
2008
SIAM
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
HRI
2011
ACM
13 years 1 months ago
2011
ACM
Ö ¹Ê Ú Ò ÊÓ ÓØ ´ Êʵ × ÖÓ ÓØ Û × × Ò ×Ó × ØÓ Ø Ò Ö Ó Ý ÙÑ Ò׺ Ì ÓÖ Ò Ð ÓÒ ÔØ Ó ÊÊ Ò Ø× ÔÔÐ Ø ÓÒ ØÓ Ö Ò ÓÖ Ð Ö Ò...
ICANN
2003
Springer
14 years 3 months ago
2003
Springer
The problem of category learning has been traditionally investigated by employing disembodied categorization models. One of the basic tenets of embodied cognitive science states th...
CVPR
2010
IEEE
14 years 6 months ago
2010
IEEE
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
IUI
2005
ACM
14 years 3 months ago
2005
ACM
We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during...