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» A theory of learning with similarity functions
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JMLR
2008
148views more  JMLR 2008»
14 years 11 months ago
Linear-Time Computation of Similarity Measures for Sequential Data
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Konrad Rieck, Pavel Laskov
RAS
2006
111views more  RAS 2006»
14 years 11 months ago
Robot learning through task identification
The operation of an autonomous mobile robot in a semi-structured environment is a complex, usually non-linear and partly unpredictable process. Lacking a theory of robot
Ulrich Nehmzow, Roberto Iglesias, Theocharis Kyria...
SPEECH
2010
122views more  SPEECH 2010»
14 years 6 months ago
Similarity and familiarity: Second language sentence recognition in first- and second-language multi-talker babble
The intelligibility of speech in noisy environments depends not only on the functionality of listeners' peripheral auditory systems, but also on cognitive factors such as the...
Kristin J. Van Engen
BIRD
2007
Springer
15 years 3 months ago
An Evaluation of Text Retrieval Methods for Similarity Search of Multi-dimensional NMR-Spectra
Abstract. Searching and mining nuclear magnetic resonance (NMR)spectra of naturally occurring substances is an important task to investigate new potentially useful chemical compoun...
Alexander Hinneburg, Andrea Porzel, Karina Wolfram
ICML
1995
IEEE
16 years 17 days ago
Stable Function Approximation in Dynamic Programming
The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
Geoffrey J. Gordon