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» An intelligent distributed environment for active learning
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 8 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
IDA
2011
Springer
13 years 2 months ago
Ubiquitous Knowledge Discovery
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
João Gama, Michael May
ICOST
2007
Springer
14 years 1 months ago
Peripheral Telecommunications: Supporting Distributed Awareness and Seamless Transitions to the Foreground
We consider two problems related to communication between geographically distributed family members. First, we examine the problem of supporting peripheral awareness, in order to i...
Yosuke Kinoe, Jeremy R. Cooperstock
CORR
2010
Springer
146views Education» more  CORR 2010»
13 years 7 months ago
Active Learning for Hidden Attributes in Networks
In many networks, vertices have hidden attributes that are correlated with the network's topology. For instance, in social networks, people are more likely to be friends if t...
Xiaoran Yan, Yaojia Zhu, Jean-Baptiste Rouquier, C...
DIGITEL
2007
IEEE
14 years 2 months ago
MuDiS - A Virtual Learning Environment
This paper presents a multi-component; distributed system (MuDiS) based solution for building a virtual learning environment which combines a wide range of technology, tools and d...
Jeetinder Singh, Jayanthi Sivaswamy, Krishnarajulu...