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» Problems of learning in multi-agent systems
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ECAI
2010
Springer
14 years 11 months ago
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
Perry Groot, Adriana Birlutiu, Tom Heskes
AICOM
2008
146views more  AICOM 2008»
14 years 10 months ago
Domain action classification using a maximum entropy model in a schedule management domain
Since speaker's intentions can be represented into domain actions (pairs of domain-independent speech acts and domain-dependent concept sequences) in goal-oriented dialogues,...
Hyunjung Lee, Harksoo Kim, Jungyun Seo
CSL
2010
Springer
14 years 10 months ago
Monaural speech separation based on MAXVQ and CASA for robust speech recognition
Robustness is one of the most important topics for automatic speech recognition (ASR) in practical applications. Monaural speech separation based on computational auditory scene a...
Peng Li, Yong Guan, Shijin Wang, Bo Xu, Wenju Liu
IJET
2008
108views more  IJET 2008»
14 years 10 months ago
Moving towards a Fully Automatic Knowledge Assessment Tool
Information about a student's level or state of knowledge is a key aspect for efficient, personalized learning activities. E-learning systems gain such information in two ways...
Christian Guetl
ALIFE
1999
14 years 9 months ago
An Approach to Biological Computation: Unicellular Core-Memory Creatures Evolved Using Genetic Algorithms
A novel machine language genetic programming system that uses one-dimensional core memories is proposed and simulated. The core is compared to a biochemical reaction space, and in ...
Hikeaki Suzuki