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127
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ECAL
2003
Springer
15 years 8 months ago
Critical Values in Asynchronous Random Boolean Networks
Abstract Wherever we see life, we see different kinds of complex networks, reason why they are studied across various fields of science. Random Boolean Networks (RBNs) form a spe...
Bertrand Mesot, Christof Teuscher
131
Voted
TRS
2008
15 years 3 months ago
Generalized Indiscernibility Relations: Applications for Missing Values and Analysis of Structural Objects
In this paper, we discuss an approach to structural objects based on a generalisation of indiscernibility relation used in rough set theory. The existing results in rough set theor...
Wojciech Jaworski
140
Voted
IAJIT
2007
104views more  IAJIT 2007»
15 years 3 months ago
A Learning-Classification Based Approach for Word Prediction
: Word prediction is an important NLP problem in which we want to predict the correct word in a given context. Word completion utilities, predictive text entry systems, writing aid...
Hisham Al-Mubaid
157
Voted
ECML
2007
Springer
15 years 9 months ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
IPPS
2010
IEEE
15 years 1 months ago
Characterizing heterogeneous computing environments using singular value decomposition
We consider a heterogeneous computing environment that consists of a collection of machines and task types. The machines vary in capabilities and different task types are better su...
Abdulla Al-Qawasmeh, Anthony A. Maciejewski, Howar...