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PKDD
2009
Springer
95views Data Mining» more  PKDD 2009»
13 years 11 months ago
Non-redundant Subgroup Discovery Using a Closure System
Subgroup discovery is a local pattern discovery task, in which descriptions of subpopulations of a database are evaluated against some quality function. As standard quality functio...
Mario Boley, Henrik Grosskreutz
PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
13 years 11 months ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone
PKDD
2009
Springer
111views Data Mining» more  PKDD 2009»
13 years 11 months ago
Found in Translation
Marco Turchi, Ilias N. Flaounas, Omar Ali, Tijl De...
PKDD
2009
Springer
120views Data Mining» more  PKDD 2009»
13 years 11 months ago
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou...
PKDD
2009
Springer
107views Data Mining» more  PKDD 2009»
13 years 11 months ago
Neural Networks for State Evaluation in General Game Playing
Unlike traditional game playing, General Game Playing is concerned with agents capable of playing classes of games. Given the rules of an unknown game, the agent is supposed to pla...
Daniel Michulke, Michael Thielscher
PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
13 years 11 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun
PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
13 years 11 months ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...
PKDD
2009
Springer
103views Data Mining» more  PKDD 2009»
13 years 11 months ago
Kernels for Periodic Time Series Arising in Astronomy
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...
PKDD
2009
Springer
269views Data Mining» more  PKDD 2009»
13 years 11 months ago
Enhanced Web Page Content Visualization with Firefox
This paper aims at presenting how natural language processing and machine learning techniques can help the internet surfer to get a better overview of the pages he is reading. The ...
Lorand Dali, Delia Rusu, Dunja Mladenic
PKDD
2009
Springer
116views Data Mining» more  PKDD 2009»
13 years 11 months ago
On Feature Selection, Bias-Variance, and Bagging
M. Arthur Munson, Rich Caruana