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ESANN
2007
15 years 8 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
IKE
2008
15 years 8 months ago
Text-independent Speaker Identification Based on MAP Channel Compensation and Pitch-dependent Features
One major source of performance decline in speaker recognition system is channel mismatch between training and testing. This paper focuses on improving channel robustness of speake...
JiQing Han, RongChun Gao
AIPS
2009
15 years 7 months ago
A Semantics for HTN Methods
Despite the extensive development of first-principles planning in recent years, planning applications are still primarily developed using knowledge-based planners which can exploi...
Robert P. Goldman
APVIS
2009
15 years 7 months ago
Visual support for the understanding of simulation processes
Current visualization systems are typically based on the concept of interactive post-processing. This decoupling of data visualization from the process of data generation offers a...
Andrea Unger, Heidrun Schumann
ATAL
2010
Springer
15 years 7 months ago
Path disruption games
We propose Path Disruption Games (PDGs), which consider collaboration between agents attempting stop an adversary from travelling from a source node to a target node in a graph. P...
Yoram Bachrach, Ely Porat
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