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GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 8 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
AUSAI
2008
Springer
15 years 6 months ago
Learning Object Representations Using Sequential Patterns
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
Nobuyuki Morioka
CIKM
2008
Springer
15 years 6 months ago
Aggregate queries over ontologies
Answering queries over ontologies is an important issue for the Semantic Web. Aggregate queries were widely studied for relational databases but almost no results are known for ag...
Diego Calvanese, Evgeny Kharlamov, Werner Nutt, Ca...
CEC
2005
IEEE
15 years 6 months ago
Evolution and prioritization of survival strategies for a simulated robot in Xpilot
Simulated evolution by the use of Genetic Algorithms (GA) is presented as the solution to a twofaceted problem: the challenge for an autonomous agent to learn the reactive componen...
Gary B. Parker, Timothy S. Doherty, Matt Parker
ACL
2006
15 years 6 months ago
A Pipeline Framework for Dependency Parsing
Pipeline computation, in which a task is decomposed into several stages that are solved sequentially, is a common computational strategy in natural language processing. The key pr...
Ming-Wei Chang, Quang Do, Dan Roth