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» Learning Gaussian Process Models from Uncertain Data
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IEAAIE
2005
Springer
15 years 8 months ago
A Fuzzy Genetic Algorithm for Real-World Job Shop Scheduling
In this paper, a multi-objective genetic algorithm is proposed to deal with a real-world fuzzy job shop scheduling problem. Fuzzy sets are used to model uncertain due dates and pro...
Carole Fayad, Sanja Petrovic
152
Voted
WEBI
2010
Springer
15 years 10 days ago
Relations Expansion: Extracting Relationship Instances from the Web
In this paper, we propose a Relation Expansion framework, which uses a few seed sentences marked up with two entities to expand a set of sentences containing target relations. Duri...
Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka
144
Voted
UAI
2008
15 years 3 months ago
Causal discovery of linear acyclic models with arbitrary distributions
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
Patrik O. Hoyer, Aapo Hyvärinen, Richard Sche...
144
Voted
WIDM
2012
ACM
13 years 10 months ago
Replaying history on process models for conformance checking and performance analysis
Process mining techniques use event data to discover process models, to check the conformance of predefined process models, and to extend such models with information about bottl...
Wil M. P. van der Aalst, Arya Adriansyah, Boudewij...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 2 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal