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» Learning Regular Expressions from Noisy Sequences
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112
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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
92
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INFORMATICALT
2002
116views more  INFORMATICALT 2002»
14 years 10 months ago
On the Optimization of an Adaptive State Estimation of Dynamic Systems in the Presence of Time-varying Outliers
The problem of recursive estimation of a state of dynamic systems in the presence of time-varying outliers in observations to be processed has been considered. A learning phase use...
Rimantas Pupeikis
MLMI
2004
Springer
15 years 4 months ago
Emotion Analysis in Man-Machine Interaction Systems
Facial expression and hand gesture analysis plays a fundamental part in emotionally rich man-machine interaction (MMI) systems, since it employs universally accepted non-verbal cu...
T. Balomenos, Amaryllis Raouzaiou, Spiros Ioannou,...
SADM
2010
194views more  SADM 2010»
14 years 9 months ago
Seriation and matrix reordering methods: An historical overview
: Seriation is an exploratory combinatorial data analysis technique to reorder objects into a sequence along a one-dimensional continuum so that it best reveals regularity and patt...
Innar Liiv
ISOLA
2010
Springer
14 years 9 months ago
LivingKnowledge: Kernel Methods for Relational Learning and Semantic Modeling
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Alessandro Moschitti