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CLEIEJ
2002
113views more  CLEIEJ 2002»
14 years 9 months ago
The MT Stack: Paging Algorithm and Performance in a Distributed Virtual Memory System
Advances in parallel computation are of central importance to Artificial Intelligence due to the significant amount of time and space their programs require. Functional languages ...
Marco T. Morazán, Douglas R. Troeger, Myles...
CSREAEEE
2007
136views Business» more  CSREAEEE 2007»
14 years 11 months ago
Virtual Apparatus Framework Approach to Constructing Adaptive Tutorials
- We present the Adaptive eLearning Platform (AeLP) – a platform solution for creating rich, interactive, and highly visual, adaptive eLearning activities designed using Virtual ...
Dror Ben-Naim, Nadine Marcus, Michael Bain
LREC
2010
213views Education» more  LREC 2010»
14 years 11 months ago
Active Learning and Crowd-Sourcing for Machine Translation
In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation (SMT) being the most actively progressing area. Succe...
Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
KDD
1999
ACM
104views Data Mining» more  KDD 1999»
15 years 2 months ago
Learning Rules from Distributed Data
In this paper a concern about the accuracy (as a function of parallelism) of a certain class of distributed learning algorithms is raised, and one proposed improvement is illustrat...
Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowye...
RSCTC
1998
Springer
175views Fuzzy Logic» more  RSCTC 1998»
15 years 2 months ago
Business Process Understanding: Mining Many Datasets
Abstract. Institutional databases can be instrumental in understanding a business process, but additional data may broaden the empirical perspective on the investigated process. We...
Jan M. Zytkow, Arun P. Sanjeev