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FLAIRS
2007
15 years 9 months ago
Knowledge Transfer in Deep Convolutional Neural Nets
Knowledge transfer is widely held to be a primary mechanism that enables humans to quickly learn new complex concepts when given only small training sets. In this paper, we apply ...
Steven Gutstein, Olac Fuentes, Eric Freudenthal
FOIKS
2008
Springer
15 years 8 months ago
Merging First-Order Knowledge Using Dilation Operators
The area of knowledge merging is concerned with merging conflicting information while preserving as much as possible. Most proposals in the literature work with knowledge bases exp...
Nikos Gorogiannis, Anthony Hunter
BIS
2006
106views Business» more  BIS 2006»
15 years 8 months ago
Expected Utility of Content Blocks in Web Content Extraction
In this paper we discuss the possible application of new concepts in web content extraction: utility assessment, utility annealing, and dynamic aggregated document generation. Aft...
Marek Kowalkiewicz
IADIS
2004
15 years 8 months ago
A Taxonomy for Scenario-Based Engineering
Recent works about the activity-oriented approach et educational modeling languages ask questions about the pedagogical scenario concept. The aim of this paper is to define the fo...
Anne Lejeune, Jean-Philippe Pernin
FLAIRS
2001
15 years 8 months ago
Spatial Reasoning for Information Brokering
The World Wide Webprovides new opportunities for collecting information from distributed, multiple, and heterogeneous data sources. Information brokering can bc used to provide co...
Heiner Stuckenschmidt, Christoph Schlieder, Ubbo V...