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GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
14 years 2 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf
ECP
1997
Springer
128views Robotics» more  ECP 1997»
13 years 11 months ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea
CORR
2007
Springer
109views Education» more  CORR 2007»
13 years 7 months ago
Multiresolution Approximation of Polygonal Curves in Linear Complexity
: We propose a new algorithm to the problem of polygonal curve approximation based on a multiresolution approach. This algorithm is suboptimal but still maintains some optimality b...
Pierre-Francois Marteau, Gildas Ménier
WINE
2010
Springer
164views Economy» more  WINE 2010»
13 years 5 months ago
Incentives in Online Auctions via Linear Programming
Online auctions in which items are sold in an online fashion with little knowledge about future bids are common in the internet environment. We study here a problem in which an auc...
Niv Buchbinder, Kamal Jain, Mohit Singh
ICPR
2000
IEEE
13 years 12 months ago
Piecewise Linear Two-Dimensional Warping
A new efficient dynamic programming (DP) algorithm for 2D elastic matching is proposed. The present DP algorithm requires by far less complexity than previous DPbased elastic mat...
Seiichi Uchida, Hiroaki Sakoe