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WSC
2004
15 years 6 months ago
Data Farming: Discovering Surprise
Data Farming is a methodology and capability that makes use of high performance computing to run models many times. This capability gives modelers and their clients the enhanced a...
Gary E. Horne, Theodore E. Meyer
150
Voted
JSA
2007
84views more  JSA 2007»
15 years 4 months ago
Optimizing data structures at the modeling level in embedded multimedia
Traditional design techniques for embedded systems apply transformations on the source code to optimize hardwarerelated cost factors. Unfortunately, such transformations cannot ad...
Marijn Temmerman, Edgar G. Daylight, Francky Catth...
ATAL
2009
Springer
15 years 11 months ago
A self-organizing neural network architecture for intentional planning agents
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
Budhitama Subagdja, Ah-Hwee Tan
EKAW
1994
Springer
15 years 9 months ago
Evaluating a Formal Modelling Language
Formal knowledge modelling languages have a number of advantages over informal languages, such as their precise meaning and the possibility to derive propertiesthrough formal proof...
Fidel Ruiz, Frank van Harmelen, Manfred Aben, Joke...
126
Voted
CASES
2003
ACM
15 years 10 months ago
Vectorizing for a SIMdD DSP architecture
The Single Instruction Multiple Data (SIMD) model for fine-grained parallelism was recently extended to support SIMD operations on disjoint vector elements. In this paper we demon...
Dorit Naishlos, Marina Biberstein, Shay Ben-David,...