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AIME
2005
Springer
14 years 11 months ago
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
Xin Zhang, Chitta Baral, Seungchan Kim
NIPS
2008
14 years 11 months ago
On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor
In this theoretical contribution we provide mathematical proof that two of the most important classes of network learning - correlation-based differential Hebbian learning and rew...
Christoph Kolodziejski, Bernd Porr, Minija Tamosiu...
ETS
2002
IEEE
92views Hardware» more  ETS 2002»
14 years 9 months ago
Technological and Pedagogical Convergence between Work-based and Campus-based Learning
There is a strong technological and economic push for higher education providers to adopt online learning strategies. This is driven, in part, by the requirement of industry for l...
David F. Radcliffe
ACL
2007
14 years 11 months ago
Detecting Semantic Relations between Named Entities in Text Using Contextual Features
This paper proposes a supervised learning method for detecting a semantic relation between a given pair of named entities, which may be located in different sentences. The method ...
Toru Hirano, Yoshihiro Matsuo, Gen-ichiro Kikui
ACL
2012
13 years 4 hour ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku