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» The changing science of machine learning
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HPDC
2012
IEEE
11 years 11 months ago
Dynamic adaptive virtual core mapping to improve power, energy, and performance in multi-socket multicores
Consider a multithreaded parallel application running inside a multicore virtual machine context that is itself hosted on a multi-socket multicore physical machine. How should the...
Chang Bae, Lei Xia, Peter A. Dinda, John R. Lange
HICSS
2010
IEEE
155views Biometrics» more  HICSS 2010»
14 years 3 months ago
Experiences Validating the Access Policy Tool in Industrial Settings
—The Access Policy Tool (APT) analyzes the firewall configuration in an enterprise network for compliance with global access policy, e.g., such as describes the industry’s be...
David M. Nicol, William H. Sanders, Mouna Seri, Sa...
DIS
2004
Springer
14 years 2 months ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo
AAAI
2010
13 years 10 months ago
Integrated Systems for Inducing Spatio-Temporal Process Models
Quantitative modeling plays a key role in the natural sciences, and systems that address the task of inductive process modeling can assist researchers in explaining their data. In...
Chunki Park, Will Bridewell, Pat Langley
ERCIMDL
2009
Springer
126views Education» more  ERCIMDL 2009»
13 years 6 months ago
Developing a Digital Libraries Master's Programme
Abstract. The changes in Swedish education following the Bologna requirements resulted in the first Master's programmes in Library and Information Science. Two of them target ...
Elena Maceviciute, Thomas D. Wilson, Helena Franck...