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» Feature (De)composition in Functional Programming
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ILP
2007
Springer
14 years 3 months ago
Learning with Kernels and Logical Representations
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
Paolo Frasconi
DAGSTUHL
2003
13 years 10 months ago
Components, Features, and Agents in the ABC
Abstract. In this paper, we show how the concepts of objects, components, features and agents are used today in the Agent Building Center (ABC) environment in order to marry the mo...
Tiziana Margaria
PLDI
2004
ACM
14 years 2 months ago
Region inference for an object-oriented language
Region-based memory management offers several important potential advantages over garbage collection, including real-time performance, better data locality, and more efficient us...
Wei-Ngan Chin, Florin Craciun, Shengchao Qin, Mart...
ALT
2004
Springer
14 years 5 months ago
On Kernels, Margins, and Low-Dimensional Mappings
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
Maria-Florina Balcan, Avrim Blum, Santosh Vempala
TOOLS
2008
IEEE
14 years 3 months ago
The Meta in Meta-object Architectures
Abstract. Behavioral reflection is crucial to support for example functional upgrades, on-the-fly debugging, or monitoring critical applications. However the use of reflective f...
Marcus Denker, Mathieu Suen, Stéphane Ducas...