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» A Model Selection Approach for Local Learning
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RECOMB
2002
Springer
14 years 9 months ago
From promoter sequence to expression: a probabilistic framework
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...
Eran Segal, Yoseph Barash, Itamar Simon, Nir Fried...
JTAER
2007
78views more  JTAER 2007»
13 years 8 months ago
A System for Locating Mobile Terminals with Tunable Privacy
A number of approaches for capturing and processing location information of mobile users have been proposed in the past; however, only with the latest advances in the handset tech...
Sandford Bessler
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 3 months ago
Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
Naresh N. Nandola, Daniel E. Rivera
GECCO
2005
Springer
102views Optimization» more  GECCO 2005»
14 years 2 months ago
Evolutionary rule-based system for IPO underpricing prediction
Academic literature has documented for a long time the existence of important price gains in the first trading day of initial public offerings (IPOs). Most of the empirical analys...
David Quintana, Cristóbal Luque del Arco-Ca...
ECAI
2008
Springer
13 years 10 months ago
Task Driven Coreference Resolution for Relation Extraction
Abstract. This paper presents the extension of an existing mimimally supervised rule acquisition method for relation extraction by coreference resolution (CR). To this end, a novel...
Feiyu Xu, Hans Uszkoreit, Hong Li