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» Learning and Generalization with the Information Bottleneck
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ADBIS
1999
Springer
104views Database» more  ADBIS 1999»
15 years 2 months ago
Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan
AUSAI
2008
Springer
15 years 6 hour ago
Learning to Find Relevant Biological Articles without Negative Training Examples
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
Keith Noto, Milton H. Saier Jr., Charles Elkan
BCSHCI
2007
14 years 11 months ago
Lessons learned implementing an educational system in Second Life
Second Life is an online 3D virtual environment that offers interesting potential for use in education due to its widespread availability, flexibility, and its use of standard pla...
Richard Stephen Clavering, Andrew Robert Nicols
IR
2000
14 years 9 months ago
Automating the Construction of Internet Portals with Machine Learning
Domain-specific internet portals are growing in popularity because they gather content from the Web and organize it for easy access, retrieval and search. For example, www.campsear...
Andrew McCallum, Kamal Nigam, Jason Rennie, Kristi...
CIKM
2009
Springer
15 years 4 months ago
Combining labeled and unlabeled data with word-class distribution learning
We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it the task of information extraction (IE) by utili...
Yanjun Qi, Ronan Collobert, Pavel Kuksa, Koray Kav...