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KDD
2005
ACM
149views Data Mining» more  KDD 2005»
14 years 29 days ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
VLSM
2005
Springer
14 years 28 days ago
Incorporating Rigid Structures in Non-rigid Registration Using Triangular B-Splines
For non-rigid registration, the objects in medical images are usually treated as a single deformable body with homogeneous stiffness distribution. However, this assumption is inval...
Kexiang Wang, Ying He 0001, Hong Qin
TSP
2010
13 years 2 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
LCPC
2007
Springer
14 years 1 months ago
Modeling Relations between Inputs and Dynamic Behavior for General Programs
Program dynamic optimization, adaptive to runtime behavior changes, has become increasingly important for both performance and energy savings. However, most runtime optimizations o...
Xipeng Shen, Feng Mao
EOR
2010
110views more  EOR 2010»
13 years 7 months ago
Pricing surplus server capacity for mean waiting time sensitive customers
Resources including various assets of supply chains, face random demand over time and can be shared by others. We consider an operational setting where a resource is shared by two...
Sudhir K. Sinha, N. Rangaraj, N. Hemachandra