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IFIP12
2008
13 years 10 months ago
Bayesian Networks Optimization Based on Induction Learning Techniques
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
Paola Britos, Pablo Felgaer, Ramón Garc&iac...
GLOBECOM
2009
IEEE
14 years 25 days ago
Energy-Efficient Multi-Pipeline Architecture for Terabit Packet Classification
Energy efficiency has become a critical concern in designing high speed packet classification engines for next generation routers. Although TCAM-based solutions can provide high th...
Weirong Jiang, Viktor K. Prasanna
BMCBI
2005
145views more  BMCBI 2005»
13 years 8 months ago
CAGER: classification analysis of gene expression regulation using multiple information sources
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
Jianhua Ruan, Weixiong Zhang
HIPEAC
2005
Springer
14 years 2 months ago
Dynamic Evolution of Congestion Trees: Analysis and Impact on Switch Architecture
Abstract. Designers of large parallel computers and clusters are becoming increasingly concerned with the cost and power consumption of the interconnection network. A simple way to...
Pedro Javier García, Jose Flich, José...
RAS
2010
117views more  RAS 2010»
13 years 7 months ago
Extending BDI plan selection to incorporate learning from experience
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. We describe a novel BDI exe...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...