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» Incorporating Test Inputs into Learning
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IDEAL
2009
Springer
15 years 4 months ago
A Multi-agent System to Learn from Oceanic Satellite Image Data
This paper presents a multiagent architecture constructed for learning from the interaction between the atmosphere and the ocean. The ocean surface and the atmosphere exchange carb...
Rosa Cano, Angélica González, Juan F...
ICML
2003
IEEE
15 years 10 months ago
Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
Zhihua Zhang
65
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GECCO
2004
Springer
15 years 3 months ago
Hybridizing Evolutionary Testing with the Chaining Approach
Fitness functions derived for certain white-box test goals can cause problems for Evolutionary Testing (ET), due to a lack of sufficient guidance to the required test data. Often t...
Phil McMinn, Mike Holcombe
INFORMATICALT
2007
43views more  INFORMATICALT 2007»
14 years 9 months ago
Functional Test Generation Based on Combined Random and Deterministic Search Methods
Abstract. The aim of this paper is to explore some features of the functional test generation problem, and on the basis of the gained experience, to propose a practical method for ...
Eduardas Bareisa, Vacius Jusas, Kestutis Motiejuna...
ASE
2006
123views more  ASE 2006»
14 years 9 months ago
Separating sequence overlap for automated test sequence generation
Finite state machines have been used to model a number of classes of system and there has thus been much interest in the automatic generation of test sequences from finite state m...
Robert M. Hierons