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ICASSP
2011
IEEE
14 years 7 months ago
Distributed training of large scale exponential language models
Shrinkage-based exponential language models, such as the recently introduced Model M, have provided significant gains over a range of tasks [1]. Training such models requires a l...
Abhinav Sethy, Stanley F. Chen, Bhuvana Ramabhadra...
IJON
2002
72views more  IJON 2002»
15 years 3 months ago
Modeling large cortical networks with growing self-organizing maps
Self-organizing computational models with specific intracortical connections can explain many features of visual cortex. However, due to their computation and memory requirements,...
James A. Bednar, Amol Kelkar, Risto Miikkulainen
133
Voted
ENTCS
2002
72views more  ENTCS 2002»
15 years 3 months ago
A Symbolic Out-of-Core Solution Method for Markov Models
Despite considerable effort, the state-space explosion problem remains an issue in the analysis of Markov models. Given structure, symbolic representations can result in very comp...
Marta Z. Kwiatkowska, Rashid Mehmood, Gethin Norma...
PDP
2009
IEEE
15 years 10 months ago
Adding Aspect-Oriented Concepts to the High-Performance Component Model of SBASCO
SBASCO provides a new programming model for parallel and distributed numerical applications which exploits the combination of software components and skeletons. This paper present...
Manuel Díaz, Sergio Romero, Bartolomé...
3DPVT
2004
IEEE
107views Visualization» more  3DPVT 2004»
15 years 7 months ago
An Easy Viewer for Out-of-Core Visualization of Huge Point-Sampled Models
In this paper, we propose a viewer for huge point-sampled models by combining out-of-core technologies with view-dependent level-of-detail (LOD) control. This viewer is designed o...
Fang Meng, Hongbin Zha