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IJAR
2010
113views more  IJAR 2010»
13 years 9 months ago
A geometric view on learning Bayesian network structures
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
Milan Studený, Jirí Vomlel, Raymond ...
JITECH
2010
106views more  JITECH 2010»
13 years 9 months ago
Patterns and structures of intra-organizational learning networks within a knowledge-intensive organization
This paper employs the network perspective to study patterns and structures of intraorganizational learning networks. The theoretical background draws from cognitive theories, the...
Miha Skerlavaj, Vlado Dimovski, Kevin C. Desouza
EUROPAR
2009
Springer
13 years 8 months ago
A Least-Resistance Path in Reasoning about Unstructured Overlay Networks
Unstructured overlay networks for peer-to-peer applications combined with stochastic algorithms for clustering and resource location are attractive due to low-maintenance costs and...
Giorgos Georgiadis, Marina Papatriantafilou
ACL
2011
13 years 2 months ago
Event Extraction as Dependency Parsing
Nested event structures are a common occurrence in both open domain and domain specific extraction tasks, e.g., a “crime” event can cause a “investigation” event, which c...
David McClosky, Mihai Surdeanu, Christopher D. Man...
TOG
2012
279views Communications» more  TOG 2012»
12 years 1 months ago
Sketch-based shape retrieval
We develop a system for 3D object retrieval based on sketched feature lines as input. For objective evaluation, we collect a large number of query sketches from human users that a...
Mathias Eitz, Ronald Richter, Tamy Boubekeur, Kris...