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MLDM
2005
Springer
15 years 10 months ago
Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures
This paper uses a set of 3D geometric measures with the purpose of characterizing lung nodules as malignant or benign. Based on a sample of 36 nodules, 29 benign and 7 malignant, t...
Aristófanes Corrêa Silva, Valdeci Rib...
IJCNN
2000
IEEE
15 years 9 months ago
Applying CMAC-Based On-Line Learning to Intrusion Detection
The timely and accurate detection of computer and network system intrusions has always been an elusive goal for system administrators and information security researchers. Existin...
James Cannady
ACL
2001
15 years 6 months ago
A Machine Learning Approach to the Automatic Evaluation of Machine Translation
We present a machine learning approach to evaluating the wellformedness of output of a machine translation system, using classifiers that learn to distinguish human reference tran...
Simon Corston-Oliver, Michael Gamon, Chris Brocket...
JMLR
2006
97views more  JMLR 2006»
15 years 4 months ago
Learning Coordinate Covariances via Gradients
We introduce an algorithm that learns gradients from samples in the supervised learning framework. An error analysis is given for the convergence of the gradient estimated by the ...
Sayan Mukherjee, Ding-Xuan Zhou
ICML
2008
IEEE
16 years 5 months ago
ICA and ISA using Schweizer-Wolff measure of dependence
We propose a new algorithm for independent component and independent subspace analysis problems. This algorithm uses a contrast based on the Schweizer-Wolff measure of pairwise de...
Barnabás Póczos, Sergey Kirshner