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» On the Use of Evidence in Neural Networks
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HIS
2004
15 years 3 months ago
K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
MCS
2008
Springer
15 years 1 months ago
Study on shape creation of building's roof by evaluating aesthetic sensibility
The purpose of this study is to develop an optimum design method for roof shapes satisfying both aesthetic sensibility (beauty) and economic evaluation by using the genetic algori...
Kazutoshi Tsutsumi, Keisuke Sasaki
ICONIP
2010
14 years 11 months ago
Exploring Features and Classifiers to Classify MicroRNA Expression Profiles of Human Cancer
Recently, some non-coding small RNAs, known as microRNAs (miRNA), have drawn a lot of attention to identify their role in gene regulation and various biological processes. The miRN...
Kyung-Joong Kim, Sung-Bae Cho
IJNSEC
2006
132views more  IJNSEC 2006»
15 years 1 months ago
Alert Correlation for Extracting Attack Strategies
Alert correlation is an important technique for managing large the volume of intrusion alerts that are raised by heterogenous Intrusion Detection Systems (IDSs). The recent trend ...
Bin Zhu, Ali A. Ghorbani
SENSYS
2010
ACM
14 years 11 months ago
Privacy-aware regression modeling of participatory sensing data
Many participatory sensing applications use data collected by participants to construct a public model of a system or phenomenon. For example, a health application might compute a...
Hossein Ahmadi, Nam Pham, Raghu K. Ganti, Tarek F....