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» Structuring Knowledge for Reference Generation: A Clustering...
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111
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ICML
2009
IEEE
16 years 3 months ago
Learning Markov logic network structure via hypergraph lifting
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
Stanley Kok, Pedro Domingos
119
Voted
WWW
2010
ACM
15 years 9 months ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf
116
Voted
ICDM
2009
IEEE
132views Data Mining» more  ICDM 2009»
15 years 9 months ago
Bayesian Overlapping Subspace Clustering
Given a data matrix, the problem of finding dense/uniform sub-blocks in the matrix is becoming important in several applications. The problem is inherently combinatorial since th...
Qiang Fu, Arindam Banerjee
ASPDAC
1995
ACM
103views Hardware» more  ASPDAC 1995»
15 years 6 months ago
A scheduling algorithm for multiport memory minimization in datapath synthesis
- In this paper, we present a new scheduling algorithms that generates area-efficient register transfer level datapaths with multiport memories. The proposed scheduling algorithm a...
Hae-Dong Lee, Sun-Young Hwang
120
Voted
ICAPR
2005
Springer
15 years 8 months ago
Hierarchical Clustering of Dynamical Systems Based on Eigenvalue Constraints
Abstract. This paper addresses the clustering problem of hidden dynamical systems behind observed multivariate sequences by assuming an interval-based temporal structure in the seq...
Hiroaki Kawashima, Takashi Matsuyama