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» Feature Subset Selection Using a Genetic Algorithm
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142
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COLT
2010
Springer
15 years 6 days ago
Robust Selective Sampling from Single and Multiple Teachers
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
Ofer Dekel, Claudio Gentile, Karthik Sridharan
124
Voted
SIGMOD
2005
ACM
166views Database» more  SIGMOD 2005»
16 years 2 months ago
Substructure Similarity Search in Graph Databases
Advanced database systems face a great challenge raised by the emergence of massive, complex structural data in bioinformatics, chem-informatics, and many other applications. The ...
Xifeng Yan, Philip S. Yu, Jiawei Han
102
Voted
ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
15 years 8 months ago
Graph-Based Iterative Hybrid Feature Selection
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, J...
126
Voted
BSN
2009
IEEE
140views Sensor Networks» more  BSN 2009»
15 years 9 months ago
A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks
—Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided int...
Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafa...
GECCO
2005
Springer
183views Optimization» more  GECCO 2005»
15 years 7 months ago
802.11 network intrusion detection using genetic programming
Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of fe...
Patrick LaRoche, A. Nur Zincir-Heywood