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IPMI
2011
Springer
13 years 1 months ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh
BMCBI
2010
90views more  BMCBI 2010»
13 years 10 months ago
PuTmiR: A database for extracting neighboring transcription factors of human microRNAs
Background: Some of the recent investigations in systems biology have revealed the existence of a complex regulatory network between genes, microRNAs (miRNAs) and transcription fa...
Sanghamitra Bandyopadhyay, Malay Bhattacharyya
HICSS
2003
IEEE
98views Biometrics» more  HICSS 2003»
14 years 3 months ago
Effectiveness and Applicability of Internet-Based Training in the Corporation - Case of Egypt
Learning is the most indispensable activity in the current knowledge-based economy where firms, in order to compete and survive, must be constantly alert, capable of adapting to f...
Mohamed Ibrahim
CEAS
2006
Springer
14 years 1 months ago
Fast Uncertainty Sampling for Labeling Large E-mail Corpora
One of the biggest challenges in building effective anti-spam solutions is designing systems to defend against the everevolving bag of tricks spammers use to defeat them. Because ...
Richard Segal, Ted Markowitz, William Arnold
ACMICEC
2008
ACM
270views ECommerce» more  ACMICEC 2008»
14 years 2 days ago
Adaptive strategies for predicting bidding prices in supply chain management
Supply Chain Management (SCM) involves a number of interrelated activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing proces...
Yevgeniya Kovalchuk, Maria Fasli