PKDD
2015
Springer
9 years 11 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 ...
98
Voted
PKDD
2015
Springer
9 years 11 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
9 years 11 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...
116
Voted
PKDD
2015
Springer
9 years 11 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...
177
click to vote
PKDD
2015
Springer
9 years 11 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...