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AAAI
2008
15 years 4 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang
COLT
2008
Springer
15 years 4 months ago
Learning Coordinate Gradients with Multi-Task Kernels
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
Yiming Ying, Colin Campbell
107
Voted
ECML
1994
Springer
15 years 6 months ago
Industrial Applications of ML: Illustrations for the KAML Dilemma and the CBR Dream
This paperpresents several industrial applications of MLin the context of their effort to solve the "KAMLproblem", i.e., the problem of merging knowledge acquisition and...
Yves Kodratoff
ICML
2010
IEEE
15 years 14 days ago
Approximate Predictive Representations of Partially Observable Systems
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
Monica Dinculescu, Doina Precup
124
Voted
HIS
2009
15 years 8 days ago
Applying Concept Mapping on the Influent Learning in Virtual Classroom
The diversity of learning abilities between learners in the virtual classroom is wider than those in traditional classroom. It is difficult to prepare a suitable teaching material ...
Rong-Chung Chen, Shu-Chen Liu