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138
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TCBB
2010
80views more  TCBB 2010»
15 years 2 months ago
On the Importance of Comprehensible Classification Models for Protein Function Prediction
—The literature on protein function prediction is currently dominated by works aimed at maximizing predictive accuracy, ignoring the important issues of validation and interpreta...
Alex Alves Freitas, Daniela Wieser, Rolf Apweiler
156
Voted
IAT
2009
IEEE
15 years 1 months ago
Facilitating Active Multidimensional Association Mining with User Preference Ontology
Multidimensional association mining from data warehouse has become a knowledge discovery paradigm because it provides more specific conditional settings for target mining data, th...
Chin-Ang Wu, Wen-Yang Lin, Chuan-Chun Wu
150
Voted
ESANN
2004
15 years 5 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
140
Voted
BMCBI
2006
239views more  BMCBI 2006»
15 years 3 months ago
Applying dynamic Bayesian networks to perturbed gene expression data
Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
Norbert Dojer, Anna Gambin, Andrzej Mizera, Bartek...
125
Voted
CONEXT
2007
ACM
15 years 7 months ago
Fair and efficient scheduling in data ferrying networks
Data-ferrying disconnection-tolerant networks allow remote rural areas to access the Internet at very low cost, making them viable alternatives to more expensive access technologi...
Shimin Guo, Srinivasan Keshav