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NAACL
2010
13 years 6 months ago
Unsupervised Model Adaptation using Information-Theoretic Criterion
In this paper we propose a novel general framework for unsupervised model adaptation. Our method is based on entropy which has been used previously as a regularizer in semi-superv...
Ariya Rastrow, Frederick Jelinek, Abhinav Sethy, B...
CSREAEEE
2008
128views Business» more  CSREAEEE 2008»
13 years 10 months ago
Public relations System for Mobile Learning
- In this paper, we proposed an automatic pushing system, whereby the users of mobile devices set their preferences on the Internet and receive `pushed' contents, which are a ...
Chul-Woo Kim, Misook Lim, Young-Min Chin
GECCO
2004
Springer
142views Optimization» more  GECCO 2004»
14 years 2 months ago
Improving MACS Thanks to a Comparison with 2TBNs
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuil...
IJON
2007
99views more  IJON 2007»
13 years 8 months ago
Criticality of avalanche dynamics in adaptive recurrent networks
In many studies of self-organized criticality (SOC), branching processes were used to model the dynamics of the activity of the system during avalanches. This mathematical simpli...
Anna Levina, Udo Ernst, J. Michael Herrmann
IWANN
2005
Springer
14 years 2 months ago
Real-Time Spiking Neural Network: An Adaptive Cerebellar Model
Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
Christian Boucheny, Richard R. Carrillo, Eduardo R...