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» Scalable, updatable predictive models for sequence data
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APPINF
2003
13 years 6 months ago
On Reducing Entity State Update Packets in Distributed Interactive Simulations using a Hybrid Model
A key component in Distributed Interactive Simulations (DIS) is the number of data packets transmitted across the connected networks. To reduce the number of packets transmitted, ...
Declan Delaney, Tomás Ward, Séamus M...
ICPPW
2009
IEEE
13 years 2 months ago
A Scalable Parallel Approach for Peptide Identification from Large-Scale Mass Spectrometry Data
Identifying peptides, which are short polymeric chains of amino acid residues in a protein sequence, is of fundamental importance in systems biology research. The most popular appr...
Gaurav Ramesh Kulkarni, Ananth Kalyanaraman, Willi...
SKG
2006
IEEE
13 years 10 months ago
A Data Mining Approach Based on Grey Prediction Model in Web Environment
This paper proposes a prediction approach that combines grey prediction model with three-layer computing architecture in Web environment. It presents a refined prediction formula ...
Hui Peng
CORR
2006
Springer
111views Education» more  CORR 2006»
13 years 4 months ago
An associative memory for the on-line recognition and prediction of temporal sequences
This paper presents the design of an associative memory with feedback that is capable of on-line temporal sequence learning. A framework for on-line sequence learning has been prop...
Joy Bose, Stephen B. Furber, Jonathan L. Shapiro
ITCC
2005
IEEE
13 years 10 months ago
A Scalable Generative Topographic Mapping for Sparse Data Sequences
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
Ata Kabán