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FDL
2006
IEEE
14 years 3 months ago
Formalizing TLM with Communicating State Machines
Transaction Level Models are widely being used as high-level reference models during embedded systems development. High simulation speed and great modeling flexibility are the ma...
Bernhard Niemann, Christian Haubelt
ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
14 years 2 months ago
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
Thomas Takeo Osugi, Kun Deng, Stephen D. Scott
CIKM
2005
Springer
14 years 2 months ago
Information retrieval and machine learning for probabilistic schema matching
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...
Henrik Nottelmann, Umberto Straccia
TOOLS
1999
IEEE
14 years 1 months ago
Towards Integration of State Machines and Object-Oriented Languages
The goal of this paper is to obtain a one-to-one correspondence between state machines as e.g. used in UML and object-oriented programming languages. A proposal is made for a lang...
Ole Lehrmann Madsen
APNOMS
2008
Springer
13 years 11 months ago
Empirical Analysis of Application-Level Traffic Classification Using Supervised Machine Learning
Accurate application traffic classification and identification are important for network monitoring and analysis. The accuracy of traditional Internet application traffic classific...
Byungchul Park, Young J. Won, Mi-Jung Choi, Myung-...