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» Distributed Data Mining Models as Services on the Grid
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ICDM
2008
IEEE
182views Data Mining» more  ICDM 2008»
16 years 26 days ago
Multiple-Instance Regression with Structured Data
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
Kiri L. Wagstaff, Terran Lane, Alex Roper
ICDS
2009
IEEE
16 years 1 months ago
Self Protecting Data for De-perimeterised Information Sharing
- The emergence of high-speed networks, Grid Computing, Service-Oriented Architectures, and an ever increasing ambient connection to mobile Internet has enabled an underpinning inf...
Pete Burnap, Jeremy Hilton
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 4 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
ICUIMC
2009
ACM
16 years 28 days ago
PicAChoo: a tool for customizable feature extraction utilizing characteristics of textual data
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
Jaeseok Myung, Jung-Yeon Yang, Sang-goo Lee
FAST
2009
15 years 4 months ago
HYDRAstor: A Scalable Secondary Storage
HYDRAstor is a scalable, secondary storage solution aimed at the enterprise market. The system consists of a back-end architectured as a grid of storage nodes built around a distr...
Cezary Dubnicki, Leszek Gryz, Lukasz Heldt, Michal...