PKDD
2015
Springer
8 years 7 months ago
2015
Springer
Abstract. Learning problems in which an adversary can perturb instances at application time can be modeled as games with datadependent cost functions. In an equilibrium point, the ...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
We present ProbLog2, the state of the art implementation of the probabilistic programming language ProbLog. The ProbLog language allows the user to intuitively build programs that ...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
With the deployment of smart meters across many countries, data are being collected at a large scale and volume. These data are collected for billing purposes but also to get analy...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
In this contribution, we present a computational stylistic study and comparison of classic French literary texts based on a datadriven approach where discovering interesting lingui...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
Abstract. Current research has introduced new automatic hyperparameter optimization strategies that are able to accelerate this optimization process and outperform manual and grid ...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
Matrix factorizations are a popular tool to mine regularities from data. There are many ways to interpret the factorizations, but one particularly suited for data mining utilizes t...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
The choice of an appropriate representation remains crucial for mining time series, particularly to reach a good trade-o between the dimensionality reduction and the stored inform...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
Abstract. We introduce both neural higher-order linear-chain conditional random fields (NHO-LC-CRFs) and a new structured regularizer for these sequence models. We show that this ...
PKDD
2015
Springer
8 years 7 months ago
2015
Springer
We often encounter situations in supervised learning where there exist possibly groups that consist of more than two parameters. For example, we might work on parameters that corre...