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106
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ESANN
2007
15 years 2 months ago
Computational Intelligence approaches to causality detection
Discovering interdependencies and causal relationships is one of the most relevant challenges raised by the information era. As more and better data become available, there is an u...
Katerina Hlavácková-Schindler, Pablo...
97
Voted
HCI
2007
15 years 2 months ago
Evaluating Usability Evaluation Methods: Criteria, Method and a Case Study
The paper proposes an approach to comparative usability evaluation that incorporates important relevant criteria identified in previous work. It applies the proposed approach to a ...
Panayiotis Koutsabasis, Thomas Spyrou, John Darzen...
116
Voted
ICMLA
2008
15 years 2 months ago
Predicting Algorithm Accuracy with a Small Set of Effective Meta-Features
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
Jun Won Lee, Christophe G. Giraud-Carrier
119
Voted
ECIR
1998
Springer
15 years 2 months ago
Coupled Hierarchical IR and Stochastic Models for Surface Information Extraction
We present in this paper a combination of Machine Learning based Information Retrieval (IR) techniques and stochastic language modelling in a hierarchical system that extracts sur...
Hugo Zaragoza, Patrick Gallinari
96
Voted
ESA
2010
Springer
227views Algorithms» more  ESA 2010»
15 years 1 months ago
Approximating Parameterized Convex Optimization Problems
We consider parameterized convex optimization problems over the unit simplex, that depend on one parameter. We provide a simple and efficient scheme for maintaining an -approximat...
Joachim Giesen, Martin Jaggi, Sören Laue