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TIP
2010
141views more  TIP 2010»
13 years 2 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
ECMDAFA
2006
Springer
228views Hardware» more  ECMDAFA 2006»
13 years 11 months ago
Model Driven Development of Multi-Agent Systems
Abstract. Design patterns are templates of general solutions to commonlyoccurring problems in the analysis and design of software systems. In mature development processes, engineer...
Juan Pavón, Jorge J. Gómez-Sanz, Rub...
CCGRID
2006
IEEE
13 years 11 months ago
IPMI-based Efficient Notification Framework for Large Scale Cluster Computing
The demand for an efficient fault tolerance system has led to the development of complex monitoring infrastructure, which in turn has created an overwhelming task of data and even...
Chokchai Leangsuksun, Tirumala Rao, Anand Tikoteka...
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 8 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
BMCBI
2010
149views more  BMCBI 2010»
13 years 7 months ago
S3DB core: a framework for RDF generation and management in bioinformatics infrastructures
Background: Biomedical research is set to greatly benefit from the use of semantic web technologies in the design of computational infrastructure. However, beyond well defined res...
Jonas S. Almeida, Helena F. Deus, Wolfgang Maass