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» On-line Learning and the Metrical Task System Problem
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CVPR
2009
IEEE
15 years 2 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...
CLUSTER
2006
IEEE
14 years 1 months ago
Robust task scheduling in non-deterministic heterogeneous computing systems
The paper addresses the problem of matching and scheduling of DAG-structured application to both minimize the makespan and maximize the robustness in a heterogeneous computing sys...
Zhiao Shi, Emmanuel Jeannot, Jack Dongarra
CONTEXT
2007
Springer
14 years 1 months ago
Adaptive and Context-aware Scenarios for Technology Enhanced Learning System based on a Didactical Theory and a Hierarchical Tas
Among the main issues of future technology-enhanced learning systems, we can mention the following ones: the ability to reuse learning resources (learning objects, tools and servic...
Jean-Louis Tetchueng, Serge Garlatti, Sylvain Laub...
IAT
2007
IEEE
14 years 1 months ago
A Study of an Approach to the Collective Iterative Task Allocation Problem
A major challenge in the field of Multi-Agent Systems is to enable autonomous agents to allocate tasks efficiently. This paper extends previous work on an approach to the collec...
Christian Guttmann, Iyad Rahwan, Michael P. George...
ALT
2003
Springer
13 years 11 months ago
Efficiently Learning the Metric with Side-Information
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
Tijl De Bie, Michinari Momma, Nello Cristianini