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» Learning Probabilistic Models of Relational Structure
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89
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RECOMB
2006
Springer
16 years 22 days ago
Detecting MicroRNA Targets by Linking Sequence, MicroRNA and Gene Expression Data
MicroRNAs (miRNAs) have recently been discovered as an important class of non-coding RNA genes that play a major role in regulating gene expression, providing a means to control th...
Jim C. Huang, Quaid Morris, Brendan J. Frey
113
Voted
JMLR
2008
100views more  JMLR 2008»
15 years 12 days ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori
110
Voted
BC
1998
98views more  BC 1998»
15 years 3 days ago
The dynamics of long-term exploration in the rat
A simple analytical model is proposed here that captures to a large extent the kinematic structure of rat exploratory behavior. Previous studies have shown that such behavior consi...
Ofer Tchernichovski, Yoav Benjamini, Ilan Golani
109
Voted
IPMI
2009
Springer
15 years 5 months ago
Dense Registration with Deformation Priors
Abstract. In this paper we propose a novel approach to define task-driven regularization constraints in deformable image registration using learned deformation priors. Our method ...
Ben Glocker, Nikos Komodakis, Nassir Navab, Georgi...
CSCL
2008
106views more  CSCL 2008»
15 years 15 days ago
Operationalizing macro-scripts in CSCL technological settings
: This paper presents a conceptual analysis of the technological dimensions related to the operationalization of CSCL macro-scripts. CSCL scripts are activity models that aim at en...
Pierre Tchounikine