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» Using Random Forests in the Structured Language Model
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CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
15 years 11 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
JSW
2007
106views more  JSW 2007»
15 years 6 months ago
Destabilization of Terrorist Networks through Argument Driven Hypothesis Model
— Social network analysis has been used for quite some time to analyze and understand the behavior of nodes in the network. Theses nodes could be individuals or group of persons,...
Dil Muhammad Akbar Hussain
CEC
2009
IEEE
16 years 1 months ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
WFLP
2000
Springer
82views Algorithms» more  WFLP 2000»
15 years 9 months ago
Strong and NV-sequentiality of constructor systems
Constructor Systems (CSs) are an important subclass of Term Rewriting Systems (TRSs) which can be used stract model of some programming languages. While normalizing strategies are...
Salvador Lucas
ENTCS
2006
114views more  ENTCS 2006»
15 years 6 months ago
Prototyping SOS Meta-theory in Maude
We present a prototype implementation of SOS meta-theory in the Maude term rewriting language. The prototype defines the basic concepts of SOS meta-theory (e.g., transition formul...
Mohammad Reza Mousavi, Michel A. Reniers