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» A Model of Component-Based Programming
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JMLR
2006
92views more  JMLR 2006»
15 years 4 months ago
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
Anders Bergkvist, Peter Damaschke, Marcel Lüt...
IOR
2011
152views more  IOR 2011»
14 years 11 months ago
Risk-Averse Two-Stage Stochastic Linear Programming: Modeling and Decomposition
We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as ...
Naomi Miller, Andrzej Ruszczynski
FCCM
2006
IEEE
100views VLSI» more  FCCM 2006»
15 years 11 months ago
Enabling a Uniform Programming Model Across the Software/Hardware Boundary
In this paper, we present hthreads, a unifying programming model for specifying application threads running within a hybrid CPU/FPGA system. Threads are specified from a single p...
Erik Anderson, Jason Agron, Wesley Peck, Jim Steve...
IPPS
2006
IEEE
15 years 11 months ago
An approach to locality-conscious load balancing and transparent memory hierarchy management with a global-address-space paralle
The development of efficient parallel out-of-core applications is often tedious, because of the need to explicitly manage the movement of data between files and data structures ...
Sriram Krishnamoorthy, Ümit V. Çataly&...
ATAL
2008
Springer
15 years 6 months ago
A heads-up no-limit Texas Hold'em poker player: discretized betting models and automatically generated equilibrium-finding progr
We present Tartanian, a game theory-based player for headsup no-limit Texas Hold'em poker. Tartanian is built from three components. First, to deal with the virtually infinit...
Andrew Gilpin, Tuomas Sandholm, Troels Bjerre S&os...