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HASKELL
2009
ACM
14 years 2 months ago
Push-pull functional reactive programming
Functional reactive programming (FRP) has simple and powerful semantics, but has resisted efficient implementation. In particular, most past implementations have used demand-driv...
Conal M. Elliott
ICML
2010
IEEE
13 years 8 months ago
Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zi...
CADE
2011
Springer
12 years 7 months ago
Static Analysis of Android Programs
Android is a programming language based on Java and an operating system for embedded or mobile devices whose upper layers are written in that language. It features an extended even...
Étienne Payet, Fausto Spoto
AAAI
1997
13 years 8 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
MP
2006
103views more  MP 2006»
13 years 7 months ago
Assessing solution quality in stochastic programs
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
Güzin Bayraksan, David P. Morton