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102
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ICML
2003
IEEE
16 years 3 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth
ICMCS
2007
IEEE
112views Multimedia» more  ICMCS 2007»
15 years 8 months ago
Detecting Unsafe Driving Patterns using Discriminative Learning
We propose a discriminative learning approach for fusing multichannel sequential data with application to detect unsafe driving patterns from multi-channel driving recording data....
Yue Zhou, Wei Xu, Huazhong Ning, Yihong Gong, Thom...
117
Voted
AUSDM
2008
Springer
212views Data Mining» more  AUSDM 2008»
15 years 4 months ago
Clustering and Classification of Maintenance Logs using Text Data Mining
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
Brett Edwards, Michael Zatorsky, Richi Nayak
135
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NAR
2006
188views more  NAR 2006»
15 years 2 months ago
BiologicalNetworks: visualization and analysis tool for systems biology
Systemslevelinvestigationofgenomicscaleinformation requires the development of truly integrated databases dealing with heterogeneous data, which can be queried for simple properti...
Michael Baitaluk, Mayya Sedova, Animesh Ray, Amarn...
156
Voted
NIPS
2008
15 years 4 months ago
Regularized Learning with Networks of Features
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
Ted Sandler, John Blitzer, Partha Pratim Talukdar,...