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EMMCVPR
2011
Springer
14 years 14 days ago
Multiple-Instance Learning with Structured Bag Models
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
Jonathan Warrell, Philip H. S. Torr
JMLR
2012
13 years 3 months ago
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
Alexandre Lacoste, François Laviolette, Mar...
114
Voted
SIGMOD
2002
ACM
127views Database» more  SIGMOD 2002»
16 years 26 days ago
Approximate XML joins
XML is widely recognized as the data interchange standard for tomorrow, because of its ability to represent data from a wide variety of sources. Hence, XML is likely to be the for...
Sudipto Guha, H. V. Jagadish, Nick Koudas, Divesh ...
114
Voted
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
15 years 7 months ago
Spatio-temporal Multi-dimensional Relational Framework Trees
—The real world is composed of sets of objects that move and morph in both space and time. Useful concepts can be defined in terms of the complex interactions between the multi-...
Matthew Bodenhamer, Samuel Bleckley, Daniel Fennel...
NAR
2011
211views Computer Vision» more  NAR 2011»
14 years 3 months ago
mESAdb: microRNA Expression and Sequence Analysis Database
MicroRNA expression and sequence analysis database (http://konulab.fen.bilkent.edu.tr/mirna/) (mESAdb) is a regularly updated database for the multivariate analysis of sequences a...
Koray D. Kaya, Gökhan Karakülah, Cengiz ...