2934 search results - page 8 / 587 » Hypothesis Spaces for Learning |
109
Voted
AAAI
2007
14 years 12 months ago
2007
Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
TSMC
2010
14 years 4 months ago
2010
In Smart Spaces (SSs), the capability of learning from experience is fundamental for autonomous adaptation to environmental changes and for proactive interaction with users. New re...
AMEC
2003
Springer
15 years 2 months ago
2003
Springer
Digital information economies require information goods producers to learn how to position themselves within a potentially vast product space. Further, the topography of this spac...
69
Voted
FOCS
2010
IEEE
14 years 7 months ago
2010
IEEE
We present a new algorithm for learning a convex set in n-dimensional space given labeled examples drawn from any Gaussian distribution. The complexity of the algorithm is bounded ...
GOSLER
1995
15 years 1 months ago
1995
In designing learning algorithms it seems quite reasonable to construct them in such a way that all data the algorithm already has obtained are correctly and completely reflected...