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» Two Graph Algorithms On an Associative Computing Model
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AAAI
2012
13 years 8 months ago
Transfer Learning with Graph Co-Regularization
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...
DEXA
2006
Springer
138views Database» more  DEXA 2006»
15 years 10 months ago
A Vector Space Model for Semantic Similarity Calculation and OWL Ontology Alignment
Ontology alignment (or matching) is the operation that takes two ontologies and produces a set of semantic correspondences (usually semantic similarities) between some elements of ...
Rubén Tous, Jaime Delgado
FOCS
2007
IEEE
16 years 18 days ago
Can you beat treewidth?
: It is well-known that constraint satisfaction problems (CSP) over an unbounded domain can be solved in time nO(k) if the treewidth of the primal graph of the instance is at most ...
Dániel Marx
CLIMA
2004
15 years 7 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis
MOBICOM
2012
ACM
13 years 8 months ago
Temporal reachability graphs
While a natural fit for modeling and understanding mobile networks, time-varying graphs remain poorly understood. Indeed, many of the usual concepts of static graphs have no obvi...
John Whitbeck, Marcelo Dias de Amorim, Vania Conan...