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» Regression with the optimised combination technique
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ICPR
2008
IEEE
14 years 2 months ago
Fast multiple instance learning via L1, 2 logistic regression
In this paper, we develop an efficient logistic regression model for multiple instance learning that combines L1 and L2 regularisation techniques. An L1 regularised logistic regr...
Zhouyu Fu, Antonio Robles-Kelly
DATE
2007
IEEE
90views Hardware» more  DATE 2007»
14 years 2 months ago
Bus access optimisation for FlexRay-based distributed embedded systems
FlexRay will very likely become the de-facto standard for in-vehicle communications. Its main advantage is the combination of high speed static and dynamic transmission of message...
Traian Pop, Paul Pop, Petru Eles, Zebo Peng
ECML
2003
Springer
14 years 29 days ago
Logistic Model Trees
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
Niels Landwehr, Mark Hall, Eibe Frank
ACSC
2005
IEEE
14 years 1 months ago
Interprocedural Side-Effect Analysis and Optimisation in the Presence of Dynamic Class Loading
We introduce a new approach to computing interprocedural modification side effects for Java programs in the presence of dynamic class loading. When compile-time unknown classes c...
Phung Hua Nguyen, Jingling Xue
QOSA
2010
Springer
13 years 5 months ago
A Hybrid Approach for Multi-attribute QoS Optimisation in Component Based Software Systems
Design decisions for complex, component-based systems impact multiple quality of service (QoS) properties. Often, means to improve one quality property deteriorate another one. In ...
Anne Martens, Danilo Ardagna, Heiko Koziolek, Raff...