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» Self-Explanatory Simulations: Scaling Up to Large Models
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94
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BMCBI
2006
101views more  BMCBI 2006»
14 years 9 months ago
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...
VRML
1995
ACM
15 years 1 months ago
Internetwork Infrastructure Requirements for Virtual Environments
Virtual environments (VEs) are a broad multidisciplinary research area that includes all aspects of computer science, virtual reality, virtual worlds, teleoperation and telepresenc...
Donald P. Brutzman, Michael R. Macedonia, Michael ...
SDM
2010
SIAM
204views Data Mining» more  SDM 2010»
14 years 11 months ago
Scalable Tensor Factorizations with Missing Data
The problem of missing data is ubiquitous in domains such as biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer...
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Mo...
85
Voted
ICC
2009
IEEE
197views Communications» more  ICC 2009»
15 years 4 months ago
A Game-Based Self-Organizing Uplink Tree for VoIP Services in IEEE 802.16j Networks
— In this paper, we propose a game theoretical approach to tackle the problem of the distributed formation of the uplink tree structure among the relay stations (RSs) and their s...
Walid Saad, Zhu Han, Mérouane Debbah, Are H...
VIS
2004
IEEE
153views Visualization» more  VIS 2004»
15 years 10 months ago
Anisotropic Volume Rendering for Extremely Dense, Thin Line Data
Many large scale physics-based simulations which take place on PC clusters or supercomputers produce huge amounts of data including vector fields. While these vector data such as ...
Gregory L. Schussman, Kwan-Liu Ma