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ICML
2009
IEEE
14 years 8 months ago
Compositional noisy-logical learning
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...
Alan L. Yuille, Songfeng Zheng
ICML
2008
IEEE
14 years 8 months ago
Dirichlet component analysis: feature extraction for compositional data
We consider feature extraction (dimensionality reduction) for compositional data, where the data vectors are constrained to be positive and constant-sum. In real-world problems, t...
Hua-Yan Wang, Qiang Yang, Hong Qin, Hongbin Zha
IJCNN
2006
IEEE
14 years 1 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
ICML
2002
IEEE
14 years 8 months ago
IEMS - The Intelligent Email Sorter
Classification of email is an important everyday task for a large and growing number of users. This paper describes the machine learning approaches underlying the i-ems (Intellige...
Elisabeth Crawford, Judy Kay, Eric McCreath
ICALT
2007
IEEE
14 years 1 months ago
SWAPS: Semantic Web Approach for Personalisation of Study
The vision of a common international education space includes a scenario for the composition of personalised study curricula consisting of modules offered by different universitie...
German Nemirovskij, Michael Thomas Egner, Eberhard...