1859 search results - page 347 / 372 » Using Problems to Learn Service-Oriented Computing |
114
Voted
ICPR
2000
IEEE
16 years 3 months ago
2000
IEEE
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
117
Voted
ATAL
2009
Springer
15 years 9 months ago
2009
Springer
The most important and interesting of the computing challenges we are facing are those that involve the problems and opportunities afforded by massive decentralization and disinte...
117
Voted
GECCO
2005
Springer
15 years 8 months ago
2005
Springer
Assume a coevolutionary algorithm capable of storing and utilizing all phenotypes discovered during its operation, for as long as it operates on a problem; that is, assume an algo...
163
Voted
SIGMOD
2011
ACM
14 years 5 months ago
2011
ACM
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
155
Voted
CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
In this paper, we propose a new method to construct an edge-preserving filter which has very similar response to the bilateral filter. The bilateral filter is a normalized convolu...