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PKDD
2015
Springer
13views Data Mining» more  PKDD 2015»
4 years 10 months ago
Algorithm Selection via Meta-learning and Sample-based Active Testing
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...
Salisu Abdulrahman, Pavel Brazdil, Jan N. van Rijn...
PKDD
2015
Springer
11views Data Mining» more  PKDD 2015»
4 years 10 months ago
Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning
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...
Antonio Vergari, Nicola Di Mauro, Floriana Esposit...
PKDD
2015
Springer
7views Data Mining» more  PKDD 2015»
4 years 10 months ago
Sequential Pattern Mining on Multimedia Data
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...
Corentin Hardy, Laurent Amsaleg, Guillaume Gravier...
PKDD
2015
Springer
55views Data Mining» more  PKDD 2015»
4 years 10 months ago
Exact Hybrid Covariance Thresholding for Joint Graphical Lasso
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...
Qingming Tang, Chao Yang, Jian Peng 0001, Jinbo Xu
PKDD
2015
Springer
27views Data Mining» more  PKDD 2015»
4 years 10 months ago
Hyperparameter Optimization with Factorized Multilayer Perceptrons
In machine learning, hyperparameter optimization is a challenging task that is usually approached by experienced practitioners or in a computationally expensive brute-force manner ...
Nicolas Schilling, Martin Wistuba, Lucas Drumond, ...
PKDD
2015
Springer
19views Data Mining» more  PKDD 2015»
4 years 10 months ago
Dealing with Overlapping Clustering: A Constraint-based Approach to Algorithm Selection
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...
Antoine Adam, Hendrik Blockeel
PKDD
2015
Springer
24views Data Mining» more  PKDD 2015»
4 years 10 months ago
Coarse-DTW: Exploiting Sparsity in Gesture Time Series
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...
Marc Dupont, Pierre-François Marteau
PKDD
2015
Springer
24views Data Mining» more  PKDD 2015»
4 years 10 months ago
Message Scheduling Methods for Belief Propagation
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...
Christian Knoll, Michael Rath, Sebastian Tschiatsc...
PKDD
2015
Springer
76views Data Mining» more  PKDD 2015»
4 years 10 months ago
Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming
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...
Davide Nitti, Vaishak Belle, Luc De Raedt
PKDD
2015
Springer
14views Data Mining» more  PKDD 2015»
4 years 10 months ago
Discovering Neutrinos Through Data Analytics
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...
Mathis Börner, Wolfgang Rhode, Tim Ruhe, Kath...
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