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» On the Fine Structure of Large Search Spaces
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AAAI
2010
15 years 7 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
CEC
2010
IEEE
15 years 7 months ago
Two novel Ant Colony Optimization approaches for Bayesian network structure learning
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Yanghui Wu, John A. W. McCall, David W. Corne
TKDE
2002
239views more  TKDE 2002»
15 years 5 months ago
An Efficient Path Computation Model for Hierarchically Structured Topographical Road Maps
In this paper, we have developed a HiTi (Hierarchical MulTi) graph model for structuring large topographical road maps to the minimum cost route computation. The HiTi graph model p...
Sungwon Jung, Sakti Pramanik
CVPR
2012
IEEE
13 years 8 months ago
The inverted multi-index
A new data structure for efficient similarity search in very large datasets of high-dimensional vectors is introduced. This structure called the inverted multi-index generalizes ...
Artem Babenko, Victor S. Lempitsky
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IMCSIT
2010
15 years 4 months ago
Finding Patterns in Strings using Suffixarrays
Abstract--Finding regularities in large data sets requires implementations of systems that are efficient in both time and space requirements. Here, we describe a newly developed sy...
Herman Stehouwer, Menno van Zaanen