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» Self Bounding Learning Algorithms
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IJCNN
2008
IEEE
15 years 3 months ago
Lazy Self-Organizing Map and its behaviors
— The Self-Organizing Map (SOM) is a famous algorithm for the unsupervised learning and visualization introduced by Teuvo Kohonen. This study proposes the Lazy SelfOrganizing Map...
Taku Haraguchi, Haruna Matsushita, Yoshifumi Nishi...
89
Voted
COLT
2007
Springer
15 years 3 months ago
Minimax Bounds for Active Learning
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Rui Castro, Robert D. Nowak
NAACL
2003
14 years 10 months ago
Automating XML markup of text documents
We present a novel system for automatically marking up text documents into XML and discuss the benefits of XML markup for intelligent information retrieval. The system uses the Se...
Shazia Akhtar, Ronan G. Reilly, John Dunnion
111
Voted
ASC
2007
14 years 9 months ago
Unsupervised learning with normalised data and non-Euclidean norms
The measurement of distance is one of the key steps in the unsupervised learning process, as it is through these distance measurements that patterns and correlations are discovere...
Kevin Doherty, Rod Adams, Neil Davey
ALT
2010
Springer
14 years 11 months ago
A Lower Bound for Learning Distributions Generated by Probabilistic Automata
Known algorithms for learning PDFA can only be shown to run in time polynomial in the so-called distinguishability
Borja Balle, Jorge Castro, Ricard Gavaldà