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COLT
2003
Springer
14 years 26 days ago
Maximum Margin Algorithms with Boolean Kernels
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
Roni Khardon, Rocco A. Servedio
CDC
2009
IEEE
101views Control Systems» more  CDC 2009»
14 years 11 days ago
Barrier function nonlinear optimization for optimal Decompression of divers
— This paper is based on a comprehensive dynamic mathematical model (Copernicus) of vascular bubble formation and growth during and after decompression from a dive. The model des...
Le Feng, Christian R. Gutvik, Tor Arne Johansen, D...
EMNETS
2007
13 years 11 months ago
SeeDTV: deployment-time validation for wireless sensor networks
Deployment of a wireless sensor network (WSN) system is a critical step because theoretical models and assumptions often differ from real environmental characteristics and perform...
H. Liu, Leo Selavo, John A. Stankovic
ICANN
2007
Springer
13 years 11 months ago
An Efficient Search Strategy for Feature Selection Using Chow-Liu Trees
Within the taxonomy of feature extraction methods, recently the Wrapper approaches lost some popularity due to the associated computational burden, compared to Embedded or Filter m...
Erik Schaffernicht, Volker Stephan, Horst-Michael ...
CIVR
2006
Springer
201views Image Analysis» more  CIVR 2006»
13 years 11 months ago
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
Rong Yan, Alexander G. Hauptmann