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NIPS
2004
15 years 5 months ago
A Probabilistic Model for Online Document Clustering with Application to Novelty Detection
In this paper we propose a probabilistic model for online document clustering. We use non-parametric Dirichlet process prior to model the growing number of clusters, and use a pri...
Jian Zhang 0003, Zoubin Ghahramani, Yiming Yang
JCISE
2002
148views more  JCISE 2002»
15 years 3 months ago
Hybrid Cellular-functional Modeling of Heterogeneous Objects
An approach to modeling heterogeneous objects as multidimensional point sets with multiple attributes (hypervolumes) is presented. Attributes given at each point represent object ...
Valery Adzhiev, Elena Kartasheva, Tosiyasu L. Kuni...
FASE
2005
Springer
15 years 9 months ago
Termination Criteria for Model Transformation
Model Transformation has become central to most software engineering activities. It refers to the process of modifying a (usually graphical) model for the purpose of analysis (by i...
Hartmut Ehrig, Karsten Ehrig, Juan de Lara, Gabrie...
ACL
2007
15 years 5 months ago
K-best Spanning Tree Parsing
This paper introduces a Maximum Entropy dependency parser based on an efficient kbest Maximum Spanning Tree (MST) algorithm. Although recent work suggests that the edge-factored ...
Keith Hall
AAAI
2008
15 years 6 months ago
Extracting Relevant Snippets for Web Navigation
Search engines present fix-length passages from documents ranked by relevance against the query. In this paper, we present and compare novel, language-model based methods for extr...
Qing Li, K. Selçuk Candan, Qi Yan