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ARC
2008
Springer
104views Hardware» more  ARC 2008»
15 years 1 months ago
PARO: Synthesis of Hardware Accelerators for Multi-Dimensional Dataflow-Intensive Applications
Abstract. In this paper, we present the PARO design tool for the automated hardware synthesis of massively parallel embedded architectures for given dataflow dominant applications....
Frank Hannig, Holger Ruckdeschel, Hritam Dutta, J&...
CG
2006
Springer
15 years 1 months ago
Feature Construction for Reinforcement Learning in Hearts
Temporal difference (TD) learning has been used to learn strong evaluation functions in a variety of two-player games. TD-gammon illustrated how the combination of game tree search...
Nathan R. Sturtevant, Adam M. White
DLS
2005
148views Languages» more  DLS 2005»
15 years 1 months ago
Compile-time meta-programming in a dynamically typed OO language
Compile-time meta-programming allows programs to be constructed by the user at compile-time. Although LISP derived languages have long had such facilities, few modern languages ar...
Laurence Tratt
IPCO
2010
174views Optimization» more  IPCO 2010»
15 years 18 days ago
On Lifting Integer Variables in Minimal Inequalities
This paper contributes to the theory of cutting planes for mixed integer linear programs (MILPs). Minimal valid inequalities are well understood for a relaxation of an MILP in tab...
Amitabh Basu, Manoel B. Campêlo, Michele Con...
EUSFLAT
2007
126views Fuzzy Logic» more  EUSFLAT 2007»
15 years 18 days ago
Selecting the Optimal Rule Set Using a Bacterial Evolutionary Algorithm
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
Mario Drobics, János Botzheim, Klaus-Peter ...