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» On Learning Limiting Programs
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ECOOP
1998
Springer
15 years 9 months ago
Flexible Alias Protection
Aliasing is endemic in object oriented programming. Because an object can be modified via any alias, object oriented programs are hard to understand, maintain, and analyse. Flexibl...
James Noble, Jan Vitek, John Potter
IFIP
2000
Springer
15 years 8 months ago
Broadway: A Software Architecture for Scientific Computing
Scientific programs rely heavily on software libraries. This paper describes the limitations of this reliance and shows how it degrades software quality. We offer a solution that u...
Samuel Z. Guyer, Calvin Lin
ICML
2001
IEEE
16 years 5 months ago
Some Theoretical Aspects of Boosting in the Presence of Noisy Data
This is a survey of some theoretical results on boosting obtained from an analogous treatment of some regression and classi cation boosting algorithms. Some related papers include...
Wenxin Jiang
145
Voted
ESANN
2007
15 years 6 months ago
Systematicity in sentence processing with a recursive self-organizing neural network
Abstract. As potential candidates for human cognition, connectionist models of sentence processing must learn to behave systematically by generalizing from a small traning set. It ...
Igor Farkas, Matthew W. Crocker
152
Voted
SAGA
2001
Springer
15 years 9 months ago
Stochastic Finite Learning
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
Thomas Zeugmann