114
Voted
PKDD
2015
Springer
9 years 11 months ago
2015
Springer
Many applications that use empirically estimated functions face a curse of dimensionality, because integrals over most function classes must be approximated by sampling. This paper...
95
Voted
PKDD
2015
Springer
9 years 11 months ago
2015
Springer
Identifying the best machine learning algorithm for a given problem continues to be an active area of research. In this paper we present a new method which exploits both meta-level...
94
Voted
PKDD
2015
Springer
9 years 11 months ago
2015
Springer
The need for feasible inference in Probabilistic Graphical Models (PGMs) has lead to tractable models like Sum-Product Networks (SPNs). Their highly expressive power and their abil...
PKDD
2015
Springer
9 years 11 months ago
2015
Springer
Analyzing multimedia data is a challenging problem due to the quantity and complexity of such data. Mining for frequently recurring patterns is a task often ran to help discovering...
117
Voted
PKDD
2015
Springer
9 years 11 months ago
2015
Springer
This paper studies precision matrix estimation for multiple related Gaussian graphical models from a dataset consisting of different classes, based upon the formulation of this pro...