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» Robust Autonomous Model Learning from 2D and 3D Data Sets
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EOR
2007
165views more  EOR 2007»
13 years 10 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
14 years 4 months ago
Artificial Neural Networks to Predict Daylily Hybrids
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
Ramana M. Gosukonda, Masoud Naghedolfeizi, Johnny ...
BMCBI
2004
127views more  BMCBI 2004»
13 years 10 months ago
MolTalk - a programming library for protein structures and structure analysis
Background: Two of the mostly unsolved but increasingly urgent problems for modern biologists are a) to quickly and easily analyse protein structures and b) to comprehensively min...
Alexander V. Diemand, Holger Scheib
ML
2010
ACM
138views Machine Learning» more  ML 2010»
13 years 5 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
ICCV
2011
IEEE
12 years 11 months ago
Learning Spatiotemporal Graphs of Human Activities
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
William Brendel, Sinisa Todorovic