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» Data Reduction Using Multiple Models Integration
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189
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NIPS
1998
15 years 8 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
233
Voted
DPD
2006
141views more  DPD 2006»
15 years 6 months ago
Efficient parallel processing of range queries through replicated declustering
A common technique used to minimize I/O in data intensive applications is data declustering over parallel servers. This technique involves distributing data among several disks so...
Hakan Ferhatosmanoglu, Ali Saman Tosun, Guadalupe ...
187
Voted
SIGIR
1996
ACM
15 years 11 months ago
Retrieval of Complex Objects Using a Four-Valued Logic
The aggregated structure of documents plays a key role in full-text, multimedia, and network Information Retrieval (IR). Considering aggregation provides new querying facilities a...
Thomas Rölleke, Norbert Fuhr
205
Voted
FMCO
2003
Springer
114views Formal Methods» more  FMCO 2003»
16 years 2 days ago
Synchronous Closing and Flow Analysis for Model Checking Timed Systems
Abstract. Formal methods, in particular model checking, are increasingly accepted as integral part of system development. With large software systems beyond the range of fully auto...
Natalia Ioustinova, Natalia Sidorova, Martin Steff...
173
Voted
AUSDM
2006
Springer
85views Data Mining» more  AUSDM 2006»
15 years 10 months ago
A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses
The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models ar...
Faten Khalil, Jiuyong Li, Hua Wang