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» Automated Discovery of Search-Extension Features
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ACG
2009
Springer
12 years 6 months ago
Automated Discovery of Search-Extension Features
One of the main challenges with selective search extensions is designing effective move categories (features). This is a manual trial and error task, which requires both intuition...
Pálmi Skowronski, Yngvi Björnsson, Mar...
JSS
2002
198views more  JSS 2002»
11 years 11 months ago
Automated discovery of concise predictive rules for intrusion detection
This paper details an essential component of a multi-agent distributed knowledge network system for intrusion detection. We describe a distributed intrusion detection architecture...
Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les...
AAAI
2011
10 years 11 months ago
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong H...
ADC
2003
Springer
153views Database» more  ADC 2003»
12 years 5 months ago
Automated Discovery of Search Interfaces on the Web
Web search engines work well for finding crawlable pages, but not for finding datasets hidden behind Web search forms. We describe a novel technique for detecting search forms, ...
Jared Cope, Nick Craswell, David Hawking
TMI
2010
172views more  TMI 2010»
11 years 10 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
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