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129
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AI
2006
Springer
15 years 6 months ago
Adaptive Fraud Detection Using Benford's Law
Abstract. Adaptive Benford's Law [1] is a digital analysis technique that specifies the probabilistic distribution of digits for many commonly occurring phenomena, even for in...
Fletcher Lu, J. Efrim Boritz, H. Dominic Covvey
147
Voted
BMCBI
2011
14 years 6 months ago
Efficient alignment of pyrosequencing reads for re-sequencing applications
Background: Over the past few years, new massively parallel DNA sequencing technologies have emerged. These platforms generate massive amounts of data per run, greatly reducing th...
Francisco Fernandes, Paulo G. S. da Fonseca, Lu&ia...
112
Voted
ATAL
2007
Springer
15 years 9 months ago
Towards reinforcement learning representation transfer
Transfer learning problems are typically framed as leveraging knowledge learned on a source task to improve learning on a related, but different, target task. Current transfer met...
Matthew E. Taylor, Peter Stone
147
Voted
ICSOC
2003
Springer
15 years 8 months ago
E-healthcare via Customized Information Services: Addressing the Need for Factually Consistent Information
Abstract. Web portals provide an efficient gateway to a broad range of Eservices, resources and information. Web portals need to evolve towards being adaptive in nature, so that th...
Syed Sibte Raza Abidi, Yong Han Chong
148
Voted
CEC
2009
IEEE
15 years 9 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux