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 ...
Anton Dries, Angelika Kimmig, Wannes Meert, Joris ...
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...
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...
Abstract. Current research has introduced new automatic hyperparameter optimization strategies that are able to accelerate this optimization process and outperform manual and grid ...
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Th...
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...
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...
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 ...
Martin Ratajczak, Sebastian Tschiatschek, Franz Pe...
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...
Online reviews are an important source for consumers to evaluate products/services on the Internet (e.g. Amazon, Yelp, etc.). However, more and more fraudulent reviewers write fake...