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AAAI
2010
13 years 3 months ago
Multilinear Maximum Distance Embedding Via L1-Norm Optimization
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
Yang Liu, Yan Liu, Keith C. C. Chan
FLAIRS
2004
13 years 8 months ago
Case-Agents: A Novel Architecture for Case-Based Agents
This paper describes a novel architecture for a casebased reasoning (CBR) system. Unlike other agent CBR systems in this architecture every case is an autonomous agent with its ow...
Ian Watson
ESAW
2006
Springer
13 years 10 months ago
A Norm-Governed Systems Perspective of Ad Hoc Networks
Ad hoc networks are a type of computational system whose members may fail to, or choose not to, comply with the laws governing their behaviour. We are investigating to what extent ...
Alexander Artikis, Lloyd Kamara, Jeremy Pitt
IDEAL
2009
Springer
14 years 1 months ago
Supervised Feature Extraction Using Hilbert-Schmidt Norms
We propose a novel, supervised feature extraction procedure, based on an unbiased estimator of the Hilbert-Schmidt independence criterion (HSIC). The proposed procedure can be dire...
Povilas Daniusis, Pranas Vaitkus
ADMI
2010
Springer
13 years 5 months ago
Real-Time Sensory Pattern Mining for Autonomous Agents
Abstract. Autonomous agents are systems situated in dynamic environments. They pursue goals and satisfy their needs by responding to external events from the environment. In these ...
Pedro Sequeira, Cláudia Antunes