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BMCBI
2006
146views more  BMCBI 2006»
13 years 8 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
EDBT
2000
ACM
14 years 1 days ago
A Data Model for Effectively Computable Functions
the research activities. This abstract is to introduce the approach of a data model - EP data model. Its data structure is able to store as a finite set of nodes arbitrary effectiv...
Kevin H. Xu
EDBT
2010
ACM
145views Database» more  EDBT 2010»
13 years 11 months ago
Splash: ad-hoc querying of data and statistical models
Data mining is increasingly performed by people who are not computer scientists or professional programmers. It is often done as an iterative process involving multiple ad-hoc tas...
Lujun Fang, Kristen LeFevre
ACMSE
2005
ACM
14 years 2 months ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha
TMC
2011
187views more  TMC 2011»
13 years 3 months ago
Mobility Tracking Based on Autoregressive Models
We propose an integrated scheme for tracking the mobility of a user based on autoregressive models that accurately capture the characteristics of realistic user movements in wirel...
Zainab R. Zaidi, Brian L. Mark