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» Structured Relation Discovery using Generative Models
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ICML
2005
IEEE
16 years 7 months ago
Learning first-order probabilistic models with combining rules
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...
SIGSOFT
2006
ACM
16 years 19 days ago
Using task context to improve programmer productivity
When working on a large software system, a programmer typically spends an inordinate amount of time sifting through thousands of artifacts to find just the subset of information n...
Mik Kersten, Gail C. Murphy
WAW
2004
Springer
80views Algorithms» more  WAW 2004»
16 years 22 hour ago
Dominating Sets in Web Graphs
In this paper we study the size of generalised dominating sets in two graph processes which are widely used to model aspects of the world-wide web. On the one hand, we show that gr...
Colin Cooper, Ralf Klasing, Michele Zito
NIPS
2007
15 years 8 months ago
Spatial Latent Dirichlet Allocation
In recent years, the language model Latent Dirichlet Allocation (LDA), which clusters co-occurring words into topics, has been widely applied in the computer vision field. Howeve...
Xiaogang Wang, Eric Grimson
BIOINFORMATICS
2007
195views more  BIOINFORMATICS 2007»
15 years 6 months ago
Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
Shinsheng Yuan, Ker-Chau Li