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APIN
1999
107views more  APIN 1999»
13 years 7 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki
APVIS
2010
13 years 9 months ago
A sketch-based interface for classifying and visualizing vector fields
In flow visualization, field lines are often used to convey both global and local structure and movement of the flow. One challenge is to find and classify the representative fiel...
Jishang Wei, Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma
JSS
2007
109views more  JSS 2007»
13 years 7 months ago
Using Bayesian belief networks for change impact analysis in architecture design
Research into design rationale in the past has focused on argumentation-based design deliberations. These approaches cannot be used to support change impact analysis effectively ...
Antony Tang, Ann E. Nicholson, Yan Jin, Jun Han
AAAI
2004
13 years 9 months ago
Distributed Representation of Syntactic Structure by Tensor Product Representation and Non-Linear Compression
Representing lexicons and sentences with the subsymbolic approach (using techniques such as Self Organizing Map (SOM) or Artificial Neural Network (ANN)) is a relatively new but i...
Heidi H. T. Yeung, Peter W. M. Tsang
ECAI
1994
Springer
13 years 11 months ago
Interpreting Common Words in Context: a Symbolic Approach
This paper presents a lexical model dedicated to the semantic representation and interpretation of individual words in unrestricted text, where sense discrimination is difficult t...
Violaine Prince