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» Theory and Applications of Robust Optimization
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ICFP
2003
ACM
15 years 11 months ago
Optimistic evaluation: an adaptive evaluation strategy for non-strict programs
Lazy programs are beautiful, but they are slow because they build many thunks. Simple measurements show that most of these thunks are unnecessary: they are in fact always evaluate...
Robert Ennals, Simon L. Peyton Jones
ICCAD
2004
IEEE
145views Hardware» more  ICCAD 2004»
15 years 8 months ago
Accurate estimation of global buffer delay within a floorplan
Closed formed expressions for buffered interconnect delay approximation have been around for some time. However, previous approaches assume that buffers are free to be placed anyw...
Charles J. Alpert, Jiang Hu, Sachin S. Sapatnekar,...
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 6 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
TAMC
2009
Springer
15 years 6 months ago
A Simple Greedy Algorithm for the k-Disjoint Flow Problem
In classical network flow theory the choice of paths, on which flow is sent, is only restricted by arc capacities. This, however, is not realistic in most applications. Many prob...
Maren Martens
ICASSP
2008
IEEE
15 years 6 months ago
Finding needles in noisy haystacks
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
Rui M. Castro, Jarvis Haupt, Robert Nowak, Gil M. ...