23 search results - page 2 / 5 » Parametric Duality and Kernelization: Lower Bounds and Upper... |
CDC
2009
IEEE
13 years 9 months ago
2009
IEEE
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
COLT
2008
Springer
13 years 7 months ago
2008
Springer
A kernel over the Boolean domain is said to be reflection-invariant, if its value does not change when we flip the same bit in both arguments. (Many popular kernels have this prop...
RT
1995
Springer
13 years 8 months ago
1995
Springer
We present a simple and inexpensive method for computing the estimates of error in a hierarchical linear radiosity method. Similar to the approach used in 1 for constant radiosity ...
SODA
2010
ACM
13 years 3 months ago
2010
ACM
We present an exact algorithm that decides, for every fixed r ≥ 2 in time O(m) + 2O(k2 ) whether a given multiset of m clauses of size r admits a truth assignment that satisfi...
NIPS
2003
13 years 6 months ago
2003
The decision functions constructed by support vector machines (SVM’s) usually depend only on a subset of the training set—the so-called support vectors. We derive asymptotical...