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ESANN
2007
15 years 6 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
FIW
2007
152views Communications» more  FIW 2007»
15 years 6 months ago
Considering Safety and Feature Interactions for Integrated Services of Home Network System
Assuring safety in the home network system (HNS) is a crucial issue to guarantee high quality of life. In this position paper, we first review our previous work, formulating three...
Ben Yan
ICAI
2008
15 years 6 months ago
Nonrestrictive Concept-Acquisition by Representational Redescription
coarse procedures or very abstract frames from the point of view of algorithm, because some crucial issues like the representation, evolution, storage, and learning process of conc...
Hui Wei, Yan Chen
LREC
2008
155views Education» more  LREC 2008»
15 years 6 months ago
Using Reordering in Statistical Machine Translation based on Alignment Block Classification
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
Marta R. Costa-Jussà, José A. R. Fon...
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 6 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny
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