ENASE
2010
12 years 12 months ago
2010
Textual models in MDD typically are generated in their concrete syntax using a template based language. On the contrary, graphical models as a generated in abstract syntax and then...
COGSR
2011
12 years 12 months ago
2011
Cognitive architectures need to resolve the diversity dilemma – i.e., to blend diversity and simplicity – in order to couple functionality and efficiency with integrability, e...
BICA
2010
12 years 12 months ago
2010
Graphical cognitive architectures implement their functionality through localized message passing among computationally limited nodes. First-order variables
AI
2011
Springer
13 years 10 hour ago
2011
Springer
The paper focuses on developing effective importance sampling algorithms for mixed probabilistic and deterministic graphical models. The use of importance sampling in such graphi...
FLAIRS
2009
13 years 2 months ago
2009
Time series are found widely in engineering and science. We study multiagent forecasting in time series, drawing from literature on time series, graphical models, and multiagent s...
EMNLP
2009
13 years 2 months ago
2009
We study graphical modeling in the case of stringvalued random variables. Whereas a weighted finite-state transducer can model the probabilistic relationship between two strings, ...
IPMU
2010
Springer
13 years 2 months ago
2010
Springer
We overview three kinds of possibilistic graphical models (based on directed acyclic graphs) and present, how they can be expressed by means of non-graphical approach to multidimen...
DAGM
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. Graphical models with higher order factors are an important tool for pattern recognition that has recently attracted considerable attention. Inference based on such model...
ACL
2010
13 years 3 months ago
2010
We investigate hierarchical graphical models (HGMs) for automatically detecting decisions in multi-party discussions. Several types of dialogue act (DA) are distinguished on the b...
VLSISP
2010
13 years 3 months ago
2010
In this paper we describe a multi-strategy approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple fe...