37 search results - page 5 / 8 » Sparse conformal predictors |
TOG
2012
11 years 10 months ago
2012
We present an approach to high-level shape editing that adapts the structure of the shape while maintaining its global characteristics. Our main contribution is a new algebraic mo...
DIS
2009
Springer
14 years 2 months ago
2009
Springer
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
IPPS
2007
IEEE
14 years 1 months ago
2007
IEEE
— Modern CPUs operate at GHz frequencies, but the latencies of memory accesses are still relatively large, in the order of hundreds of cycles. Deeper cache hierarchies with large...
CSDA
2007
13 years 7 months ago
2007
The Lasso is an attractive regularisation method for high dimensional regression. It combines variable selection with an efficient computational procedure. However, the rate of co...
WWW
2010
ACM
14 years 2 months ago
2010
ACM
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