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CIKM
2008
Springer
15 years 7 months ago
Large-scale, parallel automatic patent annotation
When researching new product ideas or filing new patents, inventors need to retrieve all relevant pre-existing know-how and/or to exploit and enforce patents in their technologica...
Milan Agatonovic, Niraj Aswani, Kalina Bontcheva, ...
NIPS
2004
15 years 6 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
177
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NIPS
2004
15 years 6 months ago
Hierarchical Eigensolver for Transition Matrices in Spectral Methods
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
Chakra Chennubhotla, Allan D. Jepson
AAAI
2000
15 years 6 months ago
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Researchers in the ontology-design field have developed the content for ontologies in many domain areas. Recently, ontologies have become increasingly common on the WorldWide Web ...
Natalya Fridman Noy, Mark A. Musen
AIPS
2009
15 years 6 months ago
Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities
When modeling real-world decision-theoretic planning problems in the Markov decision process (MDP) framework, it is often impossible to obtain a completely accurate estimate of tr...
Karina Valdivia Delgado, Scott Sanner, Leliane Nun...
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