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126
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AIPS
2004
15 years 4 months ago
Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes
Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
Branislav Kveton, Milos Hauskrecht
114
Voted
EACL
2003
ACL Anthology
15 years 3 months ago
Linear Text Segmentation using a Dynamic Programming Algorithm
In this paper we introduce a dynamic programming algorithm to perform linear text segmentation by global minimization of a segmentation cost function which consists of: (a) within...
Athanasios Kehagias, Pavlina Fragkou, Vassilios Pe...
151
Voted
GPEM
2010
180views more  GPEM 2010»
15 years 1 months ago
Developments in Cartesian Genetic Programming: self-modifying CGP
Abstract Self-Modifying Cartesian Genetic Programming (SMCGP) is a general purpose, graph-based, developmental form of Genetic Programming founded on Cartesian Genetic Programming....
Simon Harding, Julian F. Miller, Wolfgang Banzhaf
149
Voted
ESOP
2012
Springer
13 years 10 months ago
Generate, Test, and Aggregate - A Calculation-based Framework for Systematic Parallel Programming with MapReduce
Abstract. MapReduce, being inspired by the map and reduce primitives available in many functional languages, is the de facto standard for large scale data-intensive parallel progra...
Kento Emoto, Sebastian Fischer, Zhenjiang Hu
124
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FSEN
2007
Springer
15 years 8 months ago
A Model of Component-Based Programming
Abstract. Component-based programming is about how to create application programs from prefabricated components with new software that provides both glue between the components, an...
Xin Chen, Jifeng He, Zhiming Liu, Naijun Zhan