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134
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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 3 months ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
143
Voted
BMCBI
2010
229views more  BMCBI 2010»
15 years 2 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
130
Voted
ICA
2010
Springer
15 years 1 months ago
Second Order Subspace Analysis and Simple Decompositions
Abstract. The recovery of the mixture of an N-dimensional signal generated by N independent processes is a well studied problem (see e.g. [1,10]) and robust algorithms that solve t...
Harold W. Gutch, Takanori Maehara, Fabian J. Theis
128
Voted
WWW
2003
ACM
16 years 3 months ago
Implementing XML Schema inside a relational database
XML Schema has emerged as a promising data model that unites structured and unstructured content. The Oracle database has led the commercial database community in integrating supp...
Sandeepan Banerjee
151
Voted
ACL
2009
15 years 14 days ago
A Graph-based Semi-Supervised Learning for Question-Answering
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
Asli Çelikyilmaz, Marcus Thint, Zhiheng Hua...