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» A Scaling Result for Explosive Processes
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ICTAI
2006
IEEE
16 years 12 days ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
ICSE
1999
IEEE-ACM
15 years 10 months ago
Splitting the Organization and Integrating the Code: Conway's Law Revisited
It is widely acknowledged that coordination of large scale software development is an extremely difficult and persistent problem. Since the structure of the code mirrors the struc...
James D. Herbsleb, Rebecca E. Grinter
IJCAI
2003
15 years 7 months ago
Backdoors To Typical Case Complexity
There has been significant recent progress in reasoning and constraint processing methods. In areas such as planning and finite model-checking, current solution techniques can h...
Ryan Williams, Carla P. Gomes, Bart Selman
INFFUS
2008
97views more  INFFUS 2008»
15 years 6 months ago
Using classifier ensembles to label spatially disjoint data
act 11 We describe an ensemble approach to learning from arbitrarily partitioned data. The partitioning comes from the distributed process12 ing requirements of a large scale simul...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
PODC
2006
ACM
16 years 10 days ago
Grouped distributed queues: distributed queue, proportional share multiprocessor scheduling
We present Grouped Distributed Queues (GDQ), the first proportional share scheduler for multiprocessor systems that scales well with a large number of processors and processes. G...
Bogdan Caprita, Jason Nieh, Clifford Stein