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JMLR
2010
153views more  JMLR 2010»
14 years 8 months ago
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
Gideon S. Mann, Andrew McCallum
126
Voted
SODA
2010
ACM
215views Algorithms» more  SODA 2010»
15 years 11 months ago
Approximability of Robust Network Design
We consider robust network design problems where the set of feasible demands may be given by an arbitrary polytope or convex body more generally. This model, introduced by BenAmeu...
Neil Olver, F. Bruce Shepherd
VLSISP
2002
124views more  VLSISP 2002»
15 years 1 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
STOC
2009
ACM
145views Algorithms» more  STOC 2009»
16 years 2 months ago
Differential privacy and robust statistics
We show by means of several examples that robust statistical estimators present an excellent starting point for differentially private estimators. Our algorithms use a new paradig...
Cynthia Dwork, Jing Lei
ECML
2007
Springer
15 years 8 months ago
Graph-Based Domain Mapping for Transfer Learning in General Games
A general game player is an agent capable of taking as input a description of a game’s rules in a formal language and proceeding to play without any subsequent human input. To do...
Gregory Kuhlmann, Peter Stone