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» Machine learning problems from optimization perspective
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113
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PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
15 years 9 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...
144
Voted
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 5 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
116
Voted
ICML
1997
IEEE
16 years 3 months ago
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
Nir Friedman
169
Voted
BMCBI
2006
150views more  BMCBI 2006»
15 years 2 months ago
Instance-based concept learning from multiclass DNA microarray data
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
Daniel P. Berrar, Ian Bradbury, Werner Dubitzky
120
Voted
DATE
2006
IEEE
102views Hardware» more  DATE 2006»
15 years 8 months ago
Faster exploration of high level design alternatives using UML for better partitions
Partitioning is a time consuming and computationally complex optimization problem in the codesign of hardware software systems. The stringent time-to-market requirements have resu...
Waseem Ahmed, Doug Myers