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BMCBI
2006
110views more  BMCBI 2006»
15 years 7 months ago
Bias in error estimation when using cross-validation for model selection
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
Sudhir Varma, Richard Simon
ECCV
2004
Springer
16 years 8 days ago
Human Detection Based on a Probabilistic Assembly of Robust Part Detectors
We describe a novel method for human detection in single images which can detect full bodies as well as close-up views in the presence of clutter and occlusion. Humans are modeled ...
Krystian Mikolajczyk, Cordelia Schmid, Andrew Ziss...
EUROS
2008
113views Robotics» more  EUROS 2008»
15 years 8 months ago
Measuring Motion Expressiveness in Wheeled Mobile Robots
This paper addresses the measurement of motion expressiveness in wheeled mobile robots. A neural network based supervised learning strategy is proposed as a method to fuse informat...
João Sequeira
ACL
1998
15 years 8 months ago
Maximum Entropy Model Learning of the Translation Rules
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
Kengo Sato, Masakazu Nakanishi
CAISE
2004
Springer
16 years 8 days ago
MT-Flow - An Environment for Workflow-Supported Model Transformations in MDA
Abstract. Specification of systems in a software product line (product-line members) is often supported by domain-specific languages (DSLs) that provide pownguage abstractions for ...
Jernej Kovse, Theo Härder