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» Resampling methods for input modeling
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148
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IDA
2009
Springer
15 years 1 months ago
Estimating Hidden Influences in Metabolic and Gene Regulatory Networks
We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory net...
Florian Blöchl, Fabian J. Theis
133
Voted
CDC
2010
IEEE
114views Control Systems» more  CDC 2010»
14 years 10 months ago
On subspace identification of cascade structured systems
Subspace identification has proven useful when identifying identifying multi-input multi-output systems. It is, however, important in many applications to take a priori structural ...
Per Hagg, Bo Wahlberg, Henrik Sandberg
133
Voted
SIGIR
2008
ACM
15 years 3 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
BMCBI
2006
205views more  BMCBI 2006»
15 years 3 months ago
Application of Petri net based analysis techniques to signal transduction pathways
Background: Signal transduction pathways are usually modelled using classical quantitative methods, which are based on ordinary differential equations (ODEs). However, some diffic...
Andrea Sackmann, Monika Heiner, Ina Koch
154
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GECCO
2007
Springer
214views Optimization» more  GECCO 2007»
15 years 9 months ago
Portfolio allocation using XCS experts in technical analysis, market conditions and options market
Schulenburg [15] first proposed the idea to model different trader types by supplying different input information sets to a group of homogenous LCS agent. Gershoff [12] investigat...
Sor Ying (Byron) Wong, Sonia Schulenburg