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» An Application Framework for Collaborative Learning
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183
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AAAI
2007
15 years 6 months ago
Multi-Label Learning by Instance Differentiation
Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
Min-Ling Zhang, Zhi-Hua Zhou
132
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ATAL
2008
Springer
15 years 5 months ago
Teaching multi-robot coordination using demonstration of communication and state sharing
Solutions to complex tasks often require the cooperation of multiple robots, however, developing multi-robot policies can present many challenges. In this work, we introduce teach...
Sonia Chernova, Manuela M. Veloso
162
Voted
NIPS
2008
15 years 5 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
95
Voted
ECIS
2001
15 years 5 months ago
Avoiding Failure in SPI Initiation
Software Process Improvement (SPI) is a recognised systematic approach for improving the capability of software organisations. Such initiatives have met with a number of difficult...
Pouya Pourkomeylian
117
Voted
PERCOM
2007
ACM
16 years 3 months ago
A State-Based Programming Model and System for Wireless Sensor Networks
Sensor networks are one important building block towards the realisation of context-aware applications. Suitable communication protocols and middleware solutions are necessary to ...
Urs Bischoff, Gerd Kortuem