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» Human Discovery and Machine Learning
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ICML
2010
IEEE
13 years 8 months ago
Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
Kevin R. Canini, Mikhail M. Shashkov, Thomas L. Gr...
IDA
2000
Springer
13 years 7 months ago
From machine learning to knowledge discovery: Survey of preprocessing and postprocessing
Knowledge Discovery in Databases (KDD) has become a very attractive discipline both for research and industry within last few years. Its goal is to extract pieces of knowledge or `...
Ivan Bruha
PRL
2008
93views more  PRL 2008»
13 years 7 months ago
Learning to learn: From smart machines to intelligent machines
Since its birth, more than five decades ago, one of the biggest challenges of artificial intelligence remained the building of intelligent machines. Despite amazing advancements, ...
Bogdan Raducanu, Jordi Vitrià
KDD
2002
ACM
108views Data Mining» more  KDD 2002»
14 years 7 months ago
Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
George Forman
WEBDB
2009
Springer
115views Database» more  WEBDB 2009»
14 years 2 months ago
A Machine Learning Approach to Foreign Key Discovery
We study the problem of automatically discovering semantic associations between schema elements, namely foreign keys. This problem is important in all applications where data sets...
Alexandra Rostin, Oliver Albrecht, Jana Bauckmann,...