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» Learning and Generalization with the Information Bottleneck
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GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
14 years 11 months ago
Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
Greg Paperin
PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
14 years 8 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
WWW
2005
ACM
15 years 10 months ago
Disambiguating Web appearances of people in a social network
Say you are looking for information about a particular person. A search engine returns many pages for that person's name but which pages are about the person you care about, ...
Ron Bekkerman, Andrew McCallum
KDD
2008
ACM
182views Data Mining» more  KDD 2008»
15 years 10 months ago
Classification with partial labels
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
Nam Nguyen, Rich Caruana
MM
2005
ACM
134views Multimedia» more  MM 2005»
15 years 3 months ago
Formulating context-dependent similarity functions
Tasks of information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be formulated in a con...
Gang Wu, Edward Y. Chang, Navneet Panda