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NETWORKS
2008
13 years 7 months ago
Reformulation and sampling to solve a stochastic network interdiction problem
The Network Interdiction Problem involves interrupting an adversary's ability to maximize flow through a capacitated network by destroying portions of the network. A budget c...
Udom Janjarassuk, Jeff Linderoth
JMLR
2010
151views more  JMLR 2010»
13 years 2 months ago
Understanding the difficulty of training deep feedforward neural networks
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with e...
Xavier Glorot, Yoshua Bengio
TIST
2011
136views more  TIST 2011»
13 years 2 months ago
Probabilistic models for concurrent chatting activity recognition
Recognition of chatting activities in social interactions is useful for constructing human social networks. However, the existence of multiple people involved in multiple dialogue...
Jane Yung-jen Hsu, Chia-chun Lian, Wan-rong Jih
ASPLOS
2008
ACM
13 years 9 months ago
Optimistic parallelism benefits from data partitioning
Recent studies of irregular applications such as finite-element mesh generators and data-clustering codes have shown that these applications have a generalized data parallelism ar...
Milind Kulkarni, Keshav Pingali, Ganesh Ramanaraya...
JAVA
2001
Springer
14 years 4 days ago
A scalable, robust network for parallel computing
CX, a network-based computational exchange, is presented. The system’s design integrates variations of ideas from other researchers, such as work stealing, non-blocking tasks, e...
Peter R. Cappello, Dimitros Mourloukos