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AAAI
2006
15 years 6 months ago
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
Yi Liu, Rong Jin, Liu Yang
142
Voted
AAAI
1998
15 years 6 months ago
Learning to Extract Symbolic Knowledge from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...
AAAI
1996
15 years 6 months ago
Machine Learning of User Profiles: Representational Issues
As more information becomes available electronically, tools for finding information of interest to users becomes increasingly important. The goal of the research described here is...
Eric Bloedorn, Inderjeet Mani, T. Richard MacMilla...
133
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ECAL
2007
Springer
15 years 10 months ago
PLAZZMID: An Evolutionary Agent-Based Architecture Inspired by Bacteria and Bees
Abstract. Classical evolutionary algorithms have been extremely successful at solving certain problems. But they implement a very simple model of evolutionary biology that misses o...
Susan Stepney, Tim Clarke, Peter Young
AIPS
2009
15 years 5 months ago
Multi-Agent Online Planning with Communication
We propose an online algorithm for planning under uncertainty in multi-agent settings modeled as DEC-POMDPs. The algorithm helps overcome the high computational complexity of solv...
Feng Wu, Shlomo Zilberstein, Xiaoping Chen