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ICML
2010
IEEE
14 years 11 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos
NIPS
2004
14 years 11 months ago
Using Random Forests in the Structured Language Model
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
Peng Xu, Frederick Jelinek
ISSS
1997
IEEE
107views Hardware» more  ISSS 1997»
15 years 2 months ago
Port Calling: A Transformation for Reducing I/O during Multi-Package Functional Partitioning
Partitioning a system among multiple input and output pin I O limited packages is a widely researched and hard to solve problem. We previously described a new approach yielding ...
Frank Vahid
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
14 years 7 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...
CVPR
2008
IEEE
14 years 11 months ago
A rank constrained continuous formulation of multi-frame multi-target tracking problem
This paper presents a multi-frame data association algorithm for tracking multiple targets in video sequences. Multi-frame data association involves finding the most probable corr...
Khurram Shafique, Mun Wai Lee, Niels Haering