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» A Framework for Multiple-Instance Learning
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213
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SGAI
2010
Springer
15 years 2 months ago
Evolving Temporal Association Rules with Genetic Algorithms
A novel framework for mining temporal association rules by discovering itemsets with a genetic algorithm is introduced. Metaheuristics have been applied to association rule mining,...
Stephen G. Matthews, Mario A. Góngora, Adri...
150
Voted
TSMC
2010
14 years 11 months ago
Multiobjective Optimization of Temporal Processes
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
Zhe Song, Andrew Kusiak
ICSE
2003
IEEE-ACM
16 years 5 months ago
Quantifying the Value of Architecture Design Decisions: Lessons from the Field
This paper outlines experiences with using economic criteria to make architecture design decisions. It briefly describes the CBAM (Cost Benefit Analysis Method) framework applied ...
Mike Moore, Rick Kazman, Mark Klein, Jai Asundi
116
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ICANN
2005
Springer
15 years 10 months ago
Short Term Memories and Forcing the Re-use of Knowledge for Generalization
Despite the well-known performances and the theoretical power of neural networks, learning and generalizing are sometimes very difficult. In this article, we investigate how short ...
Laurent Orseau
SIGCSE
2000
ACM
146views Education» more  SIGCSE 2000»
15 years 9 months ago
Programming patterns and design patterns in the introductory computer science course
We look at the essential thinking skills students need to learn in the introductory computer science course based on object-oriented programming. We create a framework for such a ...
Viera K. Proulx