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» Application of kernels to link analysis
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EOR
2007
165views more  EOR 2007»
13 years 9 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
SIGSOFT
2010
ACM
13 years 7 months ago
Scalable SMT-based verification of GPU kernel functions
Interest in Graphical Processing Units (GPUs) is skyrocketing due to their potential to yield spectacular performance on many important computing applications. Unfortunately, writ...
Guodong Li, Ganesh Gopalakrishnan
ESTIMEDIA
2009
Springer
14 years 4 months ago
The wizard of OS: a heartbeat for Legacy multimedia applications
—Multimedia applications are often characterised by implicit temporal constraints but, in many cases, they are not programmed using any specialised real-time API. These “Legacy...
Tommaso Cucinotta, Luca Abeni, Luigi Palopoli, Fab...
ICML
2010
IEEE
13 years 11 months ago
On Sparse Nonparametric Conditional Covariance Selection
We develop a penalized kernel smoothing method for the problem of selecting nonzero elements of the conditional precision matrix, known as conditional covariance selection. This p...
Mladen Kolar, Ankur P. Parikh, Eric P. Xing
TKDE
2012
270views Formal Methods» more  TKDE 2012»
12 years 8 days ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...