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» An Algorithm for Knowledge Base Extraction
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NIPS
2008
15 years 8 months ago
A Scalable Hierarchical Distributed Language Model
Neural probabilistic language models (NPLMs) have been shown to be competitive with and occasionally superior to the widely-used n-gram language models. The main drawback of NPLMs...
Andriy Mnih, Geoffrey E. Hinton
IJCAI
2001
15 years 8 months ago
Efficient Consequence Finding
We present an extensive experimental study of consequence-finding algorithms based on kernel resolution, using both a trie-based and a novel ZBDD-based implementation, which uses ...
Laurent Simon, Alvaro del Val
WSC
2004
15 years 8 months ago
Exploiting Temporal Uncertainty in Process-Oriented Distributed Simulations
Existing research has defined a new type of simulation time called Approximate Time, where the simulation's knowledge about the values that represent time is uncertain. The a...
Margaret L. Loper, Richard M. Fujimoto
CORR
2006
Springer
127views Education» more  CORR 2006»
15 years 6 months ago
Approximating Rate-Distortion Graphs of Individual Data: Experiments in Lossy Compression and Denoising
Classical rate-distortion theory requires knowledge of an elusive source distribution. Instead, we analyze rate-distortion properties of individual objects using the recently devel...
Steven de Rooij, Paul M. B. Vitányi
IJDMB
2008
105views more  IJDMB 2008»
15 years 6 months ago
Temporal representation for gene networks: towards a qualitative temporal data mining
: Recently lots of studies aim at modeling and inferring gene networks. Modeling tools propose graphical models having almost nothing about time description of events and regards t...
Nicolas Turenne, Sylviane R. Schwer