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BMCBI
2007
215views more  BMCBI 2007»
15 years 6 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
ICCS
2001
Springer
15 years 11 months ago
Developing Components and Curricula for a Research-Rich Undergraduate Degree in Computational Physics
Abstract. A four-year undergraduate curriculum leading to a Bachelor’s degree in Computational Physics is described. The courses, texts, and seminars are research- and Web-rich, ...
Rubin H. Landau
DIS
1998
Springer
15 years 11 months ago
Development of SDS2: Smart Discovery System for Simultaneous Equation Systems
SDS2 is a system to discover and identify the quantitative model consisting of simultaneous equations re ecting the rst principles underlying the objective process through experi...
Takashi Washio, Hiroshi Motoda
CIDR
2009
181views Algorithms» more  CIDR 2009»
15 years 7 months ago
The Case for RodentStore: An Adaptive, Declarative Storage System
Recent excitement in the database community surrounding new applications--analytic, scientific, graph, geospatial, etc.--has led to an explosion in research on database storage sy...
Philippe Cudré-Mauroux, Eugene Wu, Samuel M...
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
16 years 9 days ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali