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IJCAI
2007
15 years 7 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 7 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
16 years 12 days 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 10 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 8 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