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ML
2006
ACM
122views Machine Learning» more  ML 2006»
15 years 10 months ago
Type-safe modular hash-consing
Hash-consing is a technique to share values that are structurally equal. Beyond the obvious advantage of saving memory blocks, hash-consing may also be used to speed up fundamenta...
Jean-Christophe Filliâtre, Sylvain Conchon
118
Voted
CEC
2005
IEEE
15 years 10 months ago
Effects of experience bias when seeding with prior results
Abstract- Seeding the population of an evolutionary algorithm with solutions from previous runs has proved to be useful when learning control strategies for agents operating in a c...
Mitchell A. Potter, R. Paul Wiegand, H. Joseph Blu...
ICCBR
2005
Springer
15 years 10 months ago
Opportunities for CBR in Learning by Doing
In this paper we partially describe JV2 M, a metaphorical simulation of the Java Virtual Machine where students can learn Java language compilation and reinforce object-oriented pr...
Pedro Pablo Gómez-Martín, Marco Anto...
ICCBR
2005
Springer
15 years 10 months ago
Learning Similarity Measures: A Formal View Based on a Generalized CBR Model
Abstract. Although similarity measures play a crucial role in CBR applications, clear methodologies for defining them have not been developed yet. One approach to simplify the deļ...
Armin Stahl
ICMLC
2005
Springer
15 years 10 months ago
Kernel-Based Metric Adaptation with Pairwise Constraints
Abstract. Many supervised and unsupervised learning algorithms depend on the choice of an appropriate distance metric. While metric learning for supervised learning tasks has a lon...
Hong Chang, Dit-Yan Yeung