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» Learning large margin classifiers locally and globally
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ECCV
2008
Springer
14 years 9 months ago
Local Regularization for Multiclass Classification Facing Significant Intraclass Variations
We propose a new local learning scheme that is based on the principle of decisiveness: the learned classifier is expected to exhibit large variability in the direction of the test ...
Lior Wolf, Yoni Donner
IEAAIE
2010
Springer
13 years 5 months ago
Exploring the Performance of Resampling Strategies for the Class Imbalance Problem
The present paper studies the influence of two distinct factors on the performance of some resampling strategies for handling imbalanced data sets. In particular, we focus on the n...
Vicente García, José Salvador S&aacu...
JMLR
2010
136views more  JMLR 2010»
13 years 2 months ago
Predicting the functions of proteins in Protein-Protein Interaction networks from global information
In this work we present a novel approach to predict the function of proteins in protein-protein interaction (PPI) networks. We classify existing approaches into inductive and tran...
Hossein Rahmani, Hendrik Blockeel, Andreas Bender
FLAIRS
2008
13 years 10 months ago
One-Pass Learning Algorithm for Fast Recovery of Bayesian Network
An efficient framework is proposed for the fast recovery of Bayesian network classifier. A novel algorithm, called Iterative Parent-Child learningBayesian Network Classifier (IPC-...
Shunkai Fu, Michel Desmarais, Fan Li
AROBOTS
2011
13 years 2 months ago
Large scale graph-based SLAM using aerial images as prior information
— To effectively navigate in their environments and accurately reach their target locations, mobile robots require a globally consistent map of the environment. The problem of le...
Rainer Kümmerle, Bastian Steder, Christian Do...