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» Combining Simple Models to Approximate Complex Dynamics
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INTERSPEECH
2010
14 years 4 months ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang
ECTEL
2007
Springer
15 years 4 months ago
Flexible Processes in Project-Centred Learning
Project-centred learning is increasingly used both in academia and in companies; universities train students to master complex tasks, often suggested by real-life situations, while...
Stefano Ceri, Maristella Matera, Alessandro Raffio...
WABI
2005
Springer
124views Bioinformatics» more  WABI 2005»
15 years 3 months ago
Reconstructing Metabolic Networks Using Interval Analysis
Recently, there has been growing interest in the modelling and simulation of biological systems. Such systems are often modelled in terms of coupled ordinary differential equation...
Warwick Tucker, Vincent Moulton
SPIRE
1998
Springer
15 years 2 months ago
Direct Pattern Matching on Compressed Text
We present a fast compression and decompression technique for natural language texts. The novelty is that the exact search can be done on the compressed text directly, using any k...
Edleno Silva de Moura, Gonzalo Navarro, Nivio Zivi...
AOSE
2005
Springer
15 years 3 months ago
Zooming Multi-Agent Systems
Abstract Complex systems call for a hierarchical description. Analogously, the engineering of non-trivial MASs (multiagent systems) requires principles and mechanisms for a multi-l...
Ambra Molesini, Andrea Omicini, Alessandro Ricci, ...