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» Learning Algorithms for Domain Adaptation
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CSFW
2004
IEEE
15 years 6 months ago
Using Active Learning in Intrusion Detection
Intrusion Detection Systems (IDSs) have become an important part of operational computer security. They are the last line of defense against malicious hackers and help detect ongo...
Magnus Almgren, Erland Jonsson
151
Voted
ECAL
1999
Springer
15 years 7 months ago
Evolution of Neural Controllers with Adaptive Synapses and Compact Genetic Encoding
Abstract. This paper is concerned with arti cial evolution of neurocontrollers with adaptive synapses for autonomous mobile robots. The method consists of encoding on the genotype ...
Dario Floreano, Joseba Urzelai
AAAI
2012
13 years 5 months ago
Learning Behavior Models for Hybrid Timed Systems
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...
Oliver Niggemann, Benno Stein, Asmir Vodencarevic,...
PAMI
2008
302views more  PAMI 2008»
15 years 3 months ago
Learning to Detect Moving Shadows in Dynamic Environments
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
Ajay J. Joshi, Nikolaos Papanikolopoulos
APIN
2002
90views more  APIN 2002»
15 years 3 months ago
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...