1172 search results - page 10 / 235 » From Data Distributions to Regularization in Invariant Learn... |
KDD
2004
ACM
14 years 10 months ago
2004
ACM
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
NIPS
2000
13 years 11 months ago
2000
Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
CVPR
2010
IEEE
14 years 6 months ago
2010
IEEE
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
DAWAK
2006
Springer
14 years 2 months ago
2006
Springer
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
KDD
1999
ACM
14 years 2 months ago
1999
ACM
In this paper a concern about the accuracy (as a function of parallelism) of a certain class of distributed learning algorithms is raised, and one proposed improvement is illustrat...