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DAGSTUHL
2006
13 years 8 months ago
AMFIBIA: A Meta-Model for the Integration of Business Process Modelling Aspects
Abstract. AMFIBIA is a meta-model that formalizes the essential aspects and concepts of business process modelling. Though AMFIBIA is not the first approach to formalizing the aspe...
Ekkart Kindler, Björn Axenath, Vladimir Rubin
EMNLP
2010
13 years 5 months ago
Learning the Relative Usefulness of Questions in Community QA
We present a machine learning approach for the task of ranking previously answered questions in a question repository with respect to their relevance to a new, unanswered referenc...
Razvan C. Bunescu, Yunfeng Huang
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 8 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
HICSS
2007
IEEE
156views Biometrics» more  HICSS 2007»
14 years 1 months ago
Bridging Business Value Models and Process Models in Aviation Value Webs via Possession Rights
While exploring value webs -cooperating enterprises- it is common to view such webs from multiple perspectives: (1) the business value perspective, (2) the business process perspe...
Vincent Pijpers, Jaap Gordijn
NIPS
2008
13 years 8 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong