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» Computational Models of Language Acquisition
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TNN
2008
177views more  TNN 2008»
15 years 6 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
203
Voted
SG
2010
Springer
15 years 11 months ago
Articulate: A Semi-automated Model for Translating Natural Language Queries into Meaningful Visualizations
While many visualization tools exist that offer sophisticated functions for charting complex data, they still expect users to possess a high degree of expertise in wielding the to...
Yiwen Sun, Jason Leigh, Andrew E. Johnson, Sangyoo...
AFP
2008
Springer
245views Formal Methods» more  AFP 2008»
16 years 1 months ago
Self-adjusting Computation with Delta ML
Abstract. In self-adjusting computation, programs respond automatically and efficiently to modifications to their data by tracking the dynamic data dependences of the computation ...
Umut A. Acar, Ruy Ley-Wild
CRV
2009
IEEE
225views Robotics» more  CRV 2009»
16 years 1 months ago
3D Modeling from Multiple Views with Integrated Registration and Data Fusion
This paper presents an integrated modeling system capable of generating coloured three dimensional representations of a scene observed from multiple viewpoints. Emphasis is given ...
Alain Boyer, Phillip Curtis, Pierre Payeur
SAC
2006
ACM
16 years 20 days ago
Evaluation of rule-based modularization in model transformation languages illustrated with ATL
This paper studies ways for modularizing transformation definitions in current rule-based model transformation languages. Two scenarios are shown in which the modular units are id...
Ivan Kurtev, Klaas van den Berg, Fréd&eacut...