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» Group-based learning: a boosting approach
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SMC
2007
IEEE
130views Control Systems» more  SMC 2007»
15 years 4 months ago
A flow based approach for SSH traffic detection
— The basic objective of this work is to assess the utility of two supervised learning algorithms AdaBoost and RIPPER for classifying SSH traffic from log files without using f...
Riyad Alshammari, A. Nur Zincir-Heywood
IROS
2006
IEEE
132views Robotics» more  IROS 2006»
15 years 3 months ago
Supervised Learning of Topological Maps using Semantic Information Extracted from Range Data
Abstract— This paper presents an approach to create topological maps from geometric maps obtained with a mobile robot in an indoor-environment using range data. Our approach util...
Óscar Martínez Mozos, Wolfram Burgar...
IDEAL
2000
Springer
15 years 1 months ago
Observational Learning with Modular Networks
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
Hyunjung Shin, Hyoungjoo Lee, Sungzoon Cho
ICALT
2008
IEEE
15 years 4 months ago
A Framework for Semantic Group Formation
Collaboration has long been considered an effective approach to learning. However, forming optimal groups can be a time consuming and complex task. Different approaches have been ...
Asma Ounnas, Hugh C. Davis, David E. Millard
CVPR
2004
IEEE
15 years 11 months ago
Learning Distance Functions for Image Retrieval
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall