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HIS
2007
13 years 10 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
KDD
2005
ACM
193views Data Mining» more  KDD 2005»
14 years 9 months ago
An approach to spacecraft anomaly detection problem using kernel feature space
Development of advanced anomaly detection and failure diagnosis technologies for spacecraft is a quite significant issue in the space industry, because the space environment is ha...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
ER
2007
Springer
97views Database» more  ER 2007»
14 years 2 months ago
Towards Active Conceptual Modelling for Sudden Events
There are a number of issues for information systems which are required to collect data urgently that are not well accommodated by current conceptual modelling methodologies and a...
John F. Roddick, Aaron Ceglar, Denise de Vries
CLUSTER
2009
IEEE
14 years 19 days ago
24/7 Characterization of petascale I/O workloads
Abstract--Developing and tuning computational science applications to run on extreme scale systems are increasingly complicated processes. Challenges such as managing memory access...
Philip H. Carns, Robert Latham, Robert B. Ross, Ka...
TCC
2007
Springer
102views Cryptology» more  TCC 2007»
14 years 2 months ago
Universally Composable Security with Global Setup
Abstract. Cryptographic protocols are often designed and analyzed under some trusted set-up assumptions, namely in settings where the participants have access to global information...
Ran Canetti, Yevgeniy Dodis, Rafael Pass, Shabsi W...