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JMLR
2010
103views more  JMLR 2010»
13 years 2 months ago
Learning Nonlinear Dynamic Models from Non-sequenced Data
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Tzu-Kuo Huang, Le Song, Jeff Schneider
CLADE
2008
IEEE
14 years 1 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens
VLDB
2005
ACM
125views Database» more  VLDB 2005»
14 years 7 months ago
Sync your data: update propagation for heterogeneous protein databases
The traditional model of bench (wet) chemistry in many life sciences domain is today actively complimented by computer-based discoveries utilizing the growing number of online data...
Kajal T. Claypool, Elke A. Rundensteiner
GEOINFORMATICA
1998
90views more  GEOINFORMATICA 1998»
13 years 7 months ago
Managing, Modeling, and Visualizing High-dimensional Spatio-temporal Data in an Integrated System
An approach to an interoperable object-oriented GIS-framework for atmospheric modeling (AtmoGIS), which can be used to implement integrated information systems, is presented. The ...
Lars Bernard, Benno Schmidt, Ulrich Streit, Christ...
VIP
2001
13 years 8 months ago
Layered Earth Inversion Visual Toolkit: A Scientific Visualisation Case Study
Visualisation Systems are in general designed to maximise the cognitive ability of system users particularly when exposed to large sets of otherwise difficult to comprehend data, ...
Andrew Donohoo, Debbie Richards