PKDD
2015
Springer
8 years 8 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
8 years 8 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...
PKDD
2015
Springer
8 years 8 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...
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
In machine learning, hyperparameter optimization is a challenging task that is usually approached by experienced practitioners or in a computationally expensive brute-force manner ...
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
When confronted to a clustering problem, one has to choose which algorithm to run. Building a system that automatically chooses an algorithm for a given task is the algorithm selec...
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
Dynamic Time Warping (DTW) is considered as a robust measure to compare numerical time series when some time elasticity is required. Even though its initial formulation can be slow...
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
Abstract. Approximate inference in large and densely connected graphical models is a challenging but highly relevant problem. Belief propagation, as a method for performing approxi...
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
Real-world planning problems frequently involve mixtures of continuous and discrete state variables and actions, and are formulated in environments with an unknown number of object...
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
Abstract. Astrophysical experiments produce Big Data which need efficient and e↵ective data analytics. In this paper we present a general data analysis process which has been su...
PKDD
2015
Springer
8 years 8 months ago
2015
Springer
We present a general formulation of metric learning for co-embedding, where the goal is to relate objects from different sets. The framework allows metric learning to be applied to...