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MIR
2005
ACM
129views Multimedia» more  MIR 2005»
14 years 1 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
BPM
2008
Springer
217views Business» more  BPM 2008»
13 years 9 months ago
Detecting Regulatory Compliance for Business Process Models through Semantic Annotations
A given business process may face a large number of regulatory obligations the process may or comply with. Providing tools and techniques through which an evaluation of the complia...
Guido Governatori, Jörg Hoffmann, Shazia Wasi...
LREC
2008
123views Education» more  LREC 2008»
13 years 9 months ago
Designing and Evaluating a Russian Tagset
This paper reports the principles behind designing a tagset to cover Russian morphosyntactic phenomena, modifications of the core tagset, and its evaluation. The tagset and associ...
Serge Sharoff, Mikhail Kopotev, Tomaz Erjavec, Ann...
NAACL
2010
13 years 5 months ago
Not All Seeds Are Equal: Measuring the Quality of Text Mining Seeds
Open-class semantic lexicon induction is of great interest for current knowledge harvesting algorithms. We propose a general framework that uses patterns in bootstrapping fashion ...
Zornitsa Kozareva, Eduard H. Hovy
CIA
2007
Springer
14 years 1 months ago
A Probabilistic Framework for Decentralized Management of Trust and Quality
In this paper, we propose a probabilistic framework targeting three important issues in the computation of quality and trust in decentralized systems. Specifically, our approach a...
Le-Hung Vu, Karl Aberer