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CEC
2003
IEEE
15 years 10 months ago
Stochastic neural network models for gene regulatory networks
AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...
Tianhai Tian, Kevin Burrage
154
Voted
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 3 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
ICML
2005
IEEE
16 years 5 months ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...
ICPP
2002
IEEE
15 years 10 months ago
Software Caching using Dynamic Binary Rewriting for Embedded Devices
A software cache implements instruction and data caching entirely in software. Dynamic binary rewriting offers a means to specialize the software cache miss checks at cache miss t...
Chad Huneycutt, Joshua B. Fryman, Kenneth M. Macke...
NETWORKING
2004
15 years 6 months ago
On Detection of Anomalous Routing Dynamics in BGP
BGP, the de facto inter-domain routing protocol, is the core component of current Internet infrastructure. BGP traffic deserves thorough exploration, since abnormal BGP routing dy...
Ke Zhang, Amy Yen, Xiaoliang Zhao, Daniel Massey, ...