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» Anomaly Detection Using Visualization and Machine Learning
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ECML
2004
Springer
15 years 3 months ago
Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be use...
Pieter Jan't Hoen, Karl Tuyls
ACL
2010
14 years 8 months ago
Fine-Grained Genre Classification Using Structural Learning Algorithms
Prior use of machine learning in genre classification used a list of labels as classification categories. However, genre classes are often organised into hierarchies, e.g., coveri...
Zhili Wu, Katja Markert, Serge Sharoff
ICRA
2006
IEEE
100views Robotics» more  ICRA 2006»
15 years 4 months ago
Learning EMG Control of a Robotic Hand: Towards Active Prostheses
— We introduce a method based on support vector machines which can detect opening and closing actions of the human thumb, index finger, and other fingers recorded via surface E...
Sebastian Bitzer, P. Patrick van der Smagt
ICDIM
2010
IEEE
14 years 7 months ago
Detecting incompleteness in access control policies using data classification schemes
In a set of access control policies, incompleteness is the existence of situations for which no policy applies. Some of these situations can be exploited by attackers, to obtain un...
Riaz Ahmed Shaikh, Kamel Adi, Luigi Logrippo, Serg...
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
15 years 1 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo