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BMCBI
2007
173views more  BMCBI 2007»
15 years 4 months ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
TKDE
2008
128views more  TKDE 2008»
15 years 3 months ago
Using Context to Improve Predictive Modeling of Customers in Personalization Applications
The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much t...
Cosimo Palmisano, Alexander Tuzhilin, Michele Gorg...
133
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ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
15 years 9 months ago
A Bernoulli Relational Model for Nonlinear Embedding
The notion of relations is extremely important in mathematics. In this paper, we use relations to describe the embedding problem and propose a novel stochastic relational model fo...
Gang Wang, Hui Zhang, Zhihua Zhang, Frederick H. L...
UMUAI
2008
111views more  UMUAI 2008»
15 years 3 months ago
Mediation of user models for enhanced personalization in recommender systems
Abstract. Provision of personalized recommendations to users requires accurate modeling of their interests and needs. This paper proposes a general framework and specific methodolo...
Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
TCS
2011
14 years 10 months ago
Parameter estimation for Boolean models of biological networks
Boolean networks have long been used as models of molecular networks and play an increasingly important role in systems biology. This paper describes a software package, offered ...
Elena S. Dimitrova, Luis David García-Puent...