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NECO
2007
108views more  NECO 2007»
15 years 6 months ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
NLE
2007
180views more  NLE 2007»
15 years 6 months ago
Segmentation and alignment of parallel text for statistical machine translation
We address the problem of extracting bilingual chunk pairs from parallel text to create training sets for statistical machine translation. We formulate the problem in terms of a s...
Yonggang Deng, Shankar Kumar, William Byrne
183
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RIA
2007
123views more  RIA 2007»
15 years 6 months ago
Continuations pour la programmation de comportement d'agent
Continuations are a well established programming concept that allows capturing and resuming the current program state. They can be found in several functional programming languages...
Denis Jouvin
ICRA
2010
IEEE
146views Robotics» more  ICRA 2010»
15 years 5 months ago
Statistical mobility prediction for planetary surface exploration rovers in uncertain terrain
— Planetary surface exploration rovers must accurately and efficiently predict their mobility on natural, rough terrain. Most approaches to mobility prediction assume precise a p...
Genya Ishigami, Gaurav Kewlani, Karl Iagnemma
JAIR
2010
145views more  JAIR 2010»
15 years 5 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
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