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» A Model for the Prediction of R-tree Performance
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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
16 years 2 days ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
ECCV
2010
Springer
15 years 11 months ago
Gaussian-like Spatial Priors for Articulated Tracking
We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but ofte...
BMCBI
2006
146views more  BMCBI 2006»
15 years 6 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...
VEE
2009
ACM
171views Virtualization» more  VEE 2009»
16 years 1 months ago
Dynamic memory balancing for virtual machines
Virtualization essentially enables multiple operating systems and applications to run on one physical computer by multiplexing hardware resources. A key motivation for applying vi...
Weiming Zhao, Zhenlin Wang
ICPP
1997
IEEE
15 years 10 months ago
The Affinity Entry Consistency Protocol
In this paper we propose a novel software-only distributed sharedmemory system (SW-DSM), the Affinity Entry Consistency (AEC) protocol. The protocol is based on Entry Consistency ...
Cristiana Bentes Seidel, Ricardo Bianchini, Claudi...