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» Modeling Context-Aware Distributed Knowledge
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CIKM
2009
Springer
14 years 4 months ago
Combining labeled and unlabeled data with word-class distribution learning
We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it the task of information extraction (IE) by utili...
Yanjun Qi, Ronan Collobert, Pavel Kuksa, Koray Kav...
PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
14 years 3 months ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
HCW
1998
IEEE
14 years 2 months ago
Dynamic, Competitive Scheduling of Multiple DAGs in a Distributed Heterogeneous Environment
With the advent of large scale heterogeneous environments, there is a need for matching and scheduling algorithms which can allow multiple DAG-structured applications to share the...
Michael A. Iverson, Füsun Özgüner
CIDM
2007
IEEE
14 years 4 months ago
Distributed Document Clustering Using Word-clusters
−Document clustering has become an increasingly important task in analyzing huge numbers of documents distributed among various sites. The challenging aspect is to analyze this e...
Debzani Deb, Rafal A. Angryk
CLIMA
2004
13 years 11 months ago
A New Framework for Knowledge Revision of Abductive Agents Through Their Interaction
The aim of this work is the design of a framework for the revision of knowledge in abductive reasoning agents, based on interaction. We address issues such as: how to exploit knowl...
Andrea Bracciali, Paolo Torroni