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AUTOMATICA
2006
101views more  AUTOMATICA 2006»
15 years 6 months ago
A risk-sensitive approach to total productive maintenance
While risk-sensitive (RS) approaches for designing plans of total productive maintenance are critical in manufacturing systems, there is little in the literature by way of theoret...
Abhijit Gosavi
JCST
2008
138views more  JCST 2008»
15 years 6 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003
JMIV
2006
72views more  JMIV 2006»
15 years 6 months ago
The Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties
The uncertainty principle is a fundamental concept in the context of signal and image processing, just as much as it has been in the framework of physics and more recently in harmo...
Chen Sagiv, Nir A. Sochen, Yehoshua Y. Zeevi
FUIN
2007
99views more  FUIN 2007»
15 years 6 months ago
Tutorial Examples of the Semantic Approach to Foundational Proof-Carrying Code
Proof-carryingcode provides a mechanism for insuring that a host, or code consumer, can safely run code delivered by a code producer. The host specifies a safety policy as a set o...
Amy P. Felty
AI
2004
Springer
15 years 6 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu