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» Programming with Shared Data Abstractions
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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 7 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
KBSE
2007
IEEE
15 years 4 months ago
Model checking concurrent linux device drivers
toolkit demonstrates that predicate abstraction enables automated verification of real world Windows device Our predicate abstraction-based tool DDVerify enables the automated ve...
Thomas Witkowski, Nicolas Blanc, Daniel Kroening, ...
CORR
2004
Springer
85views Education» more  CORR 2004»
14 years 9 months ago
A correct, precise and efficient integration of set-sharing, freeness and linearity for the analysis of finite and rational tree
It is well-known that freeness and linearity information positively interact with aliasing information, allowing both the precision and the efficiency of the sharing analysis of l...
Patricia M. Hill, Enea Zaffanella, Roberto Bagnara
SOCIALCOM
2010
14 years 4 months ago
Incentive Compatible Distributed Data Mining
Abstract--In this paper, we propose a game-theoretic mechanism to encourage truthful data sharing for distributed data mining. Our proposed mechanism uses the classic VickreyClarke...
Murat Kantarcioglu, Robert Nix
IAT
2006
IEEE
15 years 3 months ago
Toward Inductive Logic Programming for Collaborative Problem Solving
In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itse...
Jian Huang, Adrian R. Pearce