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FOCS
2005
IEEE
14 years 2 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
JMLR
2012
11 years 11 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
DATE
2006
IEEE
123views Hardware» more  DATE 2006»
14 years 3 months ago
Constructing portable compiled instruction-set simulators: an ADL-driven approach
Instruction set simulators are common tools used for the development of new architectures and embedded software among countless other functions. This paper presents a framework th...
Joseph D'Errico, Wei Qin
VEE
2012
ACM
239views Virtualization» more  VEE 2012»
12 years 4 months ago
Transparent dynamic instrumentation
Process virtualization provides a virtual execution environment within which an unmodified application can be monitored and controlled while it executes. The provided layer of co...
Derek Bruening, Qin Zhao, Saman P. Amarasinghe
ECSA
2010
Springer
13 years 7 months ago
Industry taxonomy engineering: the case of the European software ecosystem
Presently, no methods exist that support the creation process of an industry taxonomy within a specific domain. Without such a method, taxonomies remain erroneous, making the deve...
Ivo Hunink, Rene van Erk, Slinger Jansen, Sjaak Br...