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» Solving Demodulation as an Optimization Problem
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PLDI
2010
ACM
15 years 5 months ago
Smooth interpretation
We present smooth interpretation, a method to systematically approximate numerical imperative programs by smooth mathematical functions. This approximation facilitates the use of ...
Swarat Chaudhuri, Armando Solar-Lezama
104
Voted
NIPS
1998
15 years 1 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
95
Voted
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 1 months ago
Context-dependent predictions and cognitive arm control with XCSF
While John Holland has always envisioned learning classifier systems (LCSs) as cognitive systems, most work on LCSs has focused on classification, datamining, and function appro...
Martin V. Butz, Oliver Herbort
ADHOC
2010
292views more  ADHOC 2010»
15 years 17 days ago
Sleep/wake scheduling for multi-hop sensor networks: Non-convexity and approximation algorithm
We investigate the problem of sleep/wake scheduling for low duty cycle sensor networks. Our work differs from prior work in that we explicitly consider the effect of synchronizati...
Yan Wu, Sonia Fahmy, Ness B. Shroff
114
Voted
TCOM
2008
115views more  TCOM 2008»
15 years 10 days ago
Differentiated rate scheduling for the down-link of cellular systems
We consider the problem of differentiated rate scheduling for the downlink (i.e., multi-antenna broadcast channel), in the sense that the rates required by different users must sat...
Amir F. Dana, Masoud Sharif, Ali Vakili, Babak Has...