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» Multi-agent systems for the real world
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BIBE
2008
IEEE
111views Bioinformatics» more  BIBE 2008»
15 years 8 months ago
Structure learning for biomolecular pathways containing cycles
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
S. Itani, Karen Sachs, Garry P. Nolan, M. A. Dahle...
LREC
2010
148views Education» more  LREC 2010»
15 years 7 months ago
NP Alignment in Bilingual Corpora
We created a simple gold standard for English-Hungarian NP-level alignment, Orwell's 1984 by manually verifying the automatically generated NP chunking and manually aligning ...
Gabor Recski, András Rung, Attila Zsé...
IJCAI
2007
15 years 7 months ago
Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction
In human-robot interaction (HRI) it is essential that the robot interprets and reacts to a human’s utterances in a manner that reflects their intended meaning. In this paper we...
Michael Brenner, Nick Hawes, John D. Kelleher, Jer...
SDM
2008
SIAM
168views Data Mining» more  SDM 2008»
15 years 7 months ago
Semi-Supervised Clustering via Matrix Factorization
The recent years have witnessed a surge of interests of semi-supervised clustering methods, which aim to cluster the data set under the guidance of some supervisory information. U...
Fei Wang, Tao Li, Changshui Zhang
AAAI
2006
15 years 7 months ago
Unifying Logical and Statistical AI
Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew...