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ICRA
2002
IEEE
102views Robotics» more  ICRA 2002»
14 years 3 months ago
Maximally Informative Statistics for Localization and Mapping
This paper presents an algorithm for simultaneous localization and mapping for a mobile robot using monocular vision and odometry. The approach uses Variable State Dimension Filte...
Matthew Deans
GECCO
1999
Springer
148views Optimization» more  GECCO 1999»
14 years 2 months ago
An Analysis of Automatic Subroutine Discovery in Genetic Programming
This paper analyses Rosca's ARL as a general framework for automatic subroutine discovery. We review and compare a number of heuristics for code selection, and experimentally...
Antonello Dessi, Antonella Giani, Antonina Starita
GECCO
1999
Springer
142views Optimization» more  GECCO 1999»
14 years 2 months ago
Towards Byte Code Genetic Programming
This paper uses the GP paradigm to evolve linear genotypes (individuals) that consist of Java byte code. Our prototype GP system is implemented in Java using a standard Java devel...
Brad Harvey, James A. Foster, Deborah A. Frincke
VLDB
1998
ACM
138views Database» more  VLDB 1998»
14 years 2 months ago
TOPAZ: a Cost-Based, Rule-Driven, Multi-Phase Parallelizer
Currently the key problems of query optimization are extensibility imposed by object-relational technology, as well as query complexity caused by forthcoming applications, such as...
Clara Nippl, Bernhard Mitschang
ICANNGA
2007
Springer
161views Algorithms» more  ICANNGA 2007»
14 years 2 months ago
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
Marek Kretowski, Marek Grzes