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ICIAP
2005
ACM
14 years 11 months ago
Learning Intrusion Detection: Supervised or Unsupervised?
Abstract. Application and development of specialized machine learning techniques is gaining increasing attention in the intrusion detection community. A variety of learning techniq...
Pavel Laskov, Patrick Düssel, Christin Sch&au...
MM
2004
ACM
90views Multimedia» more  MM 2004»
14 years 4 months ago
Learning on location with cinematic narratives
This paper describes a narrative-centered approach to learning using location-aware mobile devices, with theories of learning as the basis for a system that utilizes techniques fr...
Kevin Walker
ACMICEC
2007
ACM
102views ECommerce» more  ACMICEC 2007»
14 years 3 months ago
Learning to trade with insider information
This paper introduces algorithms for learning how to trade using insider (superior) information in Kyle's model of financial markets. Prior results in finance theory relied o...
Sanmay Das
ATAL
2006
Springer
14 years 2 months ago
Learnable behavioural model for autonomous virtual agents: low-level learning
In this paper, we propose a new integration approach for simulation and behaviour in the learning context that is able to coherently manage the shared virtual environment for the ...
Toni Conde, Daniel Thalmann
AAMAS
2007
Springer
13 years 11 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko