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» A distributed machine learning framework
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IJCAI
2007
15 years 4 months ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
ICML
2003
IEEE
16 years 4 months ago
Identifying Predictive Structures in Relational Data Using Multiple Instance Learning
This paper introduces an approach for identifying predictive structures in relational data using the multiple-instance framework. By a predictive structure, we mean a structure th...
Amy McGovern, David Jensen
ICALT
2006
IEEE
15 years 9 months ago
Analyzing Student Activity in Computer Assisted Language Learning
We study the use of a computer application, intended for Computer Assisted Language Learning (CALL). We present an analytical framework for CALL, consisting of technology, interac...
Petter Karlström, Teresa Cerratto Pargman
ECML
2006
Springer
15 years 6 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
ECTEL
2008
Springer
15 years 5 months ago
Knowledge Management in the Communities of Practice of e-Learning
Abstract. A lot of research has been done to promote and develop good elearning models, practices, and technological environments. However, fewer efforts were deployed to support e...
Akila Sarirete