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PAKDD
2000
ACM
100views Data Mining» more  PAKDD 2000»
14 years 1 days ago
Discovery of Relevant Weights by Minimizing Cross-Validation Error
In order to discover relevant weights of neural networks, this paper proposes a novel method to learn a distinct squared penalty factor for each weight as a minimization problem ov...
Kazumi Saito, Ryohei Nakano
ICML
2009
IEEE
14 years 9 months ago
Ranking interesting subgroups
Subgroup discovery is the task of identifying the top k patterns in a database with most significant deviation in the distribution of a target attribute Y . Subgroup discovery is ...
Stefan Rueping
ICML
2000
IEEE
14 years 9 months ago
Solving the Multiple-Instance Problem: A Lazy Learning Approach
As opposed to traditional supervised learning, multiple-instance learning concerns the problem of classifying a bag of instances, given bags that are labeled by a teacher as being...
Jun Wang, Jean-Daniel Zucker
ASIACRYPT
2011
Springer
12 years 8 months ago
Functional Encryption for Inner Product Predicates from Learning with Errors
We propose a lattice-based functional encryption scheme for inner product predicates whose security follows from the difficulty of the learning with errors (LWE) problem. This co...
Shweta Agrawal, David Mandell Freeman, Vinod Vaiku...
DIS
2007
Springer
14 years 2 months ago
Positivism Against Constructivism: A Network Game to Learn Epistemology
As mentioned in French secondary school official texts, teaching science implies teaching scientific process. This poses the problem of how to teach epistemology, as traditional sc...
Hélène Hagège, Christopher Da...