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TEC
2008
139views more  TEC 2008»
15 years 1 months ago
Genetic Programming Approaches for Solving Elliptic Partial Differential Equations
In this paper, we propose a technique based on genetic programming (GP) for meshfree solution of elliptic partial differential equations. We employ the least-squares collocation pr...
Andras Sobester, Prasanth B. Nair, Andy J. Keane
117
Voted
PODS
2010
ACM
170views Database» more  PODS 2010»
15 years 6 months ago
A learning algorithm for top-down XML transformations
A generalization from string to trees and from languages to translations is given of the classical result that any regular language can be learned from examples: it is shown that ...
Aurélien Lemay, Sebastian Maneth, Joachim N...
128
Voted
ML
2010
ACM
185views Machine Learning» more  ML 2010»
14 years 8 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
TACAS
2007
Springer
117views Algorithms» more  TACAS 2007»
15 years 7 months ago
Replaying Play In and Play Out: Synthesis of Design Models from Scenarios by Learning
This paper is concerned with bridging the gap between requirements, provided as a set of scenarios, and conforming design models. The novel aspect of our approach is to exploit lea...
Benedikt Bollig, Joost-Pieter Katoen, Carsten Kern...
CUZA
2010
150views Cryptology» more  CUZA 2010»
14 years 11 months ago
Symbolic Synthesis of Mealy Machines from Arithmetic Bitstream Functions
In this paper, we describe a symbolic synthesis method which given an algebraic expression that specifies a bitstream function f, constructs a (minimal) Mealy machine that realise...
Helle Hvid Hansen, Jan J. M. M. Rutten