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ICPR
2000
IEEE
14 years 1 months ago
Feature Learning for Recognition with Bayesian Networks
Many realistic visual recognition tasks are “open” in the sense that the number and nature of the categories to be learned are not initially known, and there is no closed set ...
Justus H. Piater, Roderic A. Grupen
IWANN
2009
Springer
14 years 3 months ago
Optimising Machine-Learning-Based Fault Prediction in Foundry Production
Abstract. Microshrinkages are known as probably the most difficult defects to avoid in high-precision foundry. The presence of this failure renders the casting invalid, with the su...
Igor Santos, Javier Nieves, Yoseba K. Penya, Pablo...
ICML
2007
IEEE
14 years 10 months ago
Approximate maximum margin algorithms with rules controlled by the number of mistakes
We present a family of incremental Perceptron-like algorithms (PLAs) with margin in which both the "effective" learning rate, defined as the ratio of the learning rate t...
Petroula Tsampouka, John Shawe-Taylor
ACSC
2006
IEEE
14 years 3 months ago
Using formal concept analysis with an incremental knowledge acquisition system for web document management
It is necessary to provide a method to store Web information effectively so it can be utilised as a future knowledge resource. A commonly adopted approach is to classify the retri...
Timothy J. Everts, Sung Sik Park, Byeong Ho Kang
WWW
2004
ACM
14 years 9 months ago
Incremental formalization of document annotations through ontology-based paraphrasing
For the manual semantic markup of documents to become widespread, users must be able to express annotations that conform to ontologies (or schemas) that have shared meaning. Howev...
Jim Blythe, Yolanda Gil