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AIPS
2004
14 years 11 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
LFP
1992
153views more  LFP 1992»
14 years 10 months ago
Reasoning About Programs in Continuation-Passing Style
The CPS transformation dates back to the early 1970's, where it arose as a technique to represent the control flow of programs in -calculus based programming languages as -te...
Amr Sabry, Matthias Felleisen
FECS
2006
141views Education» more  FECS 2006»
14 years 11 months ago
Continuous improvement of the Computer Science Undergraduate Program at CSULA
The Department of Computer Science at California State University, Los Angeles has established an assessment process to guide the continuous improvement of the undergraduate curri...
Russ Abbott, Vladimir Akis, Valentino Crespi, Huip...
ICTAI
2010
IEEE
14 years 7 months ago
Continuous Search in Constraint Programming
This work presents the concept of Continuous Search (CS), which objective is to allow any user to eventually get their constraint solver achieving a top performance on their proble...
Alejandro Arbelaez, Youssef Hamadi, Michèle...
CEC
2007
IEEE
15 years 1 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...