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» Requirements for Machine Lifelong Learning
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96
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ICML
2008
IEEE
16 years 4 months ago
Sequence kernels for predicting protein essentiality
The problem of identifying the minimal gene set required to sustain life is of crucial importance in understanding cellular mechanisms and designing therapeutic drugs. This work d...
Cyril Allauzen, Mehryar Mohri, Ameet Talwalkar
121
Voted
MLDM
2005
Springer
15 years 9 months ago
SSC: Statistical Subspace Clustering
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
Laurent Candillier, Isabelle Tellier, Fabien Torre...
148
Voted
DSMML
2004
Springer
15 years 9 months ago
Redundant Bit Vectors for Quickly Searching High-Dimensional Regions
Applications such as audio fingerprinting require search in high dimensions: find an item in a database that is similar to a query. An important property of this search task is t...
Jonathan Goldstein, John C. Platt, Christopher J. ...
COLT
2001
Springer
15 years 8 months ago
Geometric Bounds for Generalization in Boosting
We consider geometric conditions on a labeled data set which guarantee that boosting algorithms work well when linear classifiers are used as weak learners. We start by providing ...
Shie Mannor, Ron Meir
83
Voted
ECTEL
2006
Springer
15 years 7 months ago
Guided and Interactive Factory Tours for Schools
School education today aims at improving the integration of school and professional life. A popular way to provide first hand experiences to students are guided factory tours. Comp...
Andreas Kaibel, Andreas Auwärter, Milos Kravc...